[FCSNEW.NET] Udemy - Data Science & AI Masters 2025 - From Python To Gen AI

Creation Time	Oct. 10, 2025, 4:33 a.m.
Last Access Time	Oct. 11, 2025, 9:54 p.m.
File Size	50.3 GB
Keywords	To Masters Python From Data AI Science - Udemy 2025 NET FCSNEW Gen
Total Requests	27
Total Files	1087
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

2 - Python for Data Science/24 - Matplotlib.mp4 754.1 MB
5 - SQL for Data Science/126 - Table Basics - DMLs.mp4 733.6 MB
2 - Python for Data Science/22 - Pandas.mp4 730.8 MB
17 - Generative AI Projects/474 - Project 1 - ChatScholar (EdTech Project).mp4 705.5 MB
5 - SQL for Data Science/128 - Data Import Export.mp4 684.6 MB
5 - SQL for Data Science/124 - Table Basics - DDLs.mp4 631.5 MB
5 - SQL for Data Science/127 - Joins.mp4 572.7 MB
10 - Transformers & Generative AI/408 - Getting Started - Ollama.mp4 568.2 MB
17 - Generative AI Projects/476 - Project 3 - Automated AI Claims Processing using Gen AI.mp4 566.2 MB
17 - Generative AI Projects/481 - Project 6 - Sustainability Chatbot (using xAI's Grok-3 AI).mp4 539.5 MB
12 - RAG Assessment and Evaluation Metrics/433 - RAGAS Framework (RAG Assessment).mp4 530.1 MB
12 - RAG Assessment and Evaluation Metrics/434 - (PRACTICALS) Rag Evaluation by RAGAS.mp4 505.2 MB
8 - Deep Learning & Neural Networks/304 - Convolutional Neural Networks - Practicals.mp4 491.1 MB
13 - Introduction to Agentic AI/449 - Currency Conversion Tool (Mini Project).mp4 489.4 MB
2 - Python for Data Science/5 - Let's install Python together!!.mp4 469.5 MB
5 - SQL for Data Science/136 - Windows Function.mp4 464.5 MB
2 - Python for Data Science/17 - Map Reduce Filter.mp4 461.6 MB
6 - Machine Learning/162 - Regression - Lasso & Ridge Regression (Practicals).mp4 460.5 MB
17 - Generative AI Projects/477 - Project 4 - Multi PDF RAG Chatbot built on Web Scraped Data.mp4 452.4 MB
6 - Machine Learning/187 - Classification - Project.mp4 444.1 MB
17 - Generative AI Projects/475 - Project 2 - Research RAG Chatbot.mp4 441.2 MB
2 - Python for Data Science/25 - Seaborn.mp4 437.8 MB
2 - Python for Data Science/21 - NumPy.mp4 436.4 MB
2 - Python for Data Science/20 - OOPs.mp4 435.3 MB
5 - SQL for Data Science/133 - Nested Queries.mp4 421.1 MB
8 - Deep Learning & Neural Networks/301 - Convolutional Neural Networks - Architecture Explained.mp4 406.2 MB
2 - Python for Data Science/11 - Lists.mp4 403.2 MB
10 - Transformers & Generative AI/405 - Vector Database (Practicals).mp4 371.2 MB
2 - Python for Data Science/12 - Tuples.mp4 369.5 MB
5 - SQL for Data Science/131 - Date Time Functions.mp4 368.0 MB
15 - ML - DL Deployment/462 - AWS Deployment (Breast Cancer Prediction).mp4 350.5 MB
2 - Python for Data Science/16 - Functions.mp4 347.2 MB
6 - Machine Learning/191 - Ensemble - Bagging (Practicals #1).mp4 340.3 MB
8 - Deep Learning & Neural Networks/306 - Convolutional Neural Networks - Project (X-Ray detection).mp4 332.4 MB
6 - Machine Learning/212 - Feature Engineering - Principal Component Analysis.mp4 332.4 MB
2 - Python for Data Science/10 - Datatypes Operators.mp4 326.5 MB
5 - SQL for Data Science/137 - SQL Python connectivity.mp4 318.0 MB
12 - RAG Assessment and Evaluation Metrics/436 - (PRACTICALS) Rag Evaluation by BERTScore, BARTScore.mp4 316.7 MB
8 - Deep Learning & Neural Networks/313 - Pre-Trained Models (Practicals).mp4 312.9 MB
17 - Generative AI Projects/480 - Project 5 - AI Career Coach - Part 3.mp4 312.1 MB
2 - Python for Data Science/15 - Loops & Iterations.mp4 302.3 MB
6 - Machine Learning/199 - Ensemble - Project.mp4 300.8 MB
2 - Python for Data Science/18 - File Handling.mp4 300.6 MB
9 - Natural Language Processing/354 - Neural Networks - LSTMs Part 8 (Practicals #1).mp4 295.4 MB
6 - Machine Learning/184 - Classification - Practicals so far.mp4 295.3 MB
6 - Machine Learning/208 - Feature Engineering - RFE (Practicals).mp4 273.7 MB
2 - Python for Data Science/14 - Dictionary.mp4 271.3 MB
5 - SQL for Data Science/125 - Table Basics - DQLs.mp4 270.0 MB
15 - ML - DL Deployment/460 - Flask App (Breast Cancer Prediction).mp4 266.3 MB
5 - SQL for Data Science/130 - String functions.mp4 262.4 MB
4 - Exploratory Data Analysis/106 - Analysis Practicals.mp4 261.9 MB
6 - Machine Learning/209 - Feature Engineering - Successive Feature Selection.mp4 258.2 MB
6 - Machine Learning/192 - Ensemble - Bagging (Practicals #2).mp4 251.0 MB
10 - Transformers & Generative AI/415 - RAG Systems with xAI (Practicals) - LLM APIs.mp4 245.2 MB
6 - Machine Learning/158 - Regression - Polynomial Regression (Practicals).mp4 240.8 MB
10 - Transformers & Generative AI/413 - Model Overview - LLM APIs.mp4 240.6 MB
8 - Deep Learning & Neural Networks/312 - Pre-Trained Models.mp4 240.0 MB
18 - Interview Prep (NEW SECTION)/519 - Gen AI Interview #10.mp4 237.1 MB
2 - Python for Data Science/19 - Control Structures.mp4 233.4 MB
6 - Machine Learning/221 - Hyper Parameter Optimization - Manual HPO (Practicals).mp4 227.6 MB
18 - Interview Prep (NEW SECTION)/509 - DL Interview #10.mp4 219.8 MB
4 - Exploratory Data Analysis/113 - Data Exploration.mp4 210.0 MB
7 - Time Series Analysis & Forecasting/282 - Project 3 - Demand Forecasting Part 5.mp4 204.8 MB
18 - Interview Prep (NEW SECTION)/491 - ML Interview #2.mp4 200.6 MB
8 - Deep Learning & Neural Networks/294 - Backpropagation & Forward Pass.mp4 198.1 MB
10 - Transformers & Generative AI/392 - RAGs - Use Cases.mp4 197.6 MB
2 - Python for Data Science/13 - Sets.mp4 197.3 MB
8 - Deep Learning & Neural Networks/297 - Artificial Neural Networks - Practicals.mp4 196.5 MB
15 - ML - DL Deployment/459 - Model Building (Breast Cancer Prediction).mp4 194.7 MB
5 - SQL for Data Science/129 - Aggregation Functions.mp4 192.0 MB
6 - Machine Learning/222 - Hyper Parameter Optimization - RandomizedSearchCV (Practicals).mp4 191.3 MB
4 - Exploratory Data Analysis/116 - Bivariate Analysis Part 1.mp4 185.4 MB
8 - Deep Learning & Neural Networks/317 - Project - Pneumonia Detection from X-Ray Images.mp4 182.0 MB
17 - Generative AI Projects/485 - Project 7 - Text-to-SQL Chatbot - Part 4.mp4 179.4 MB
4 - Exploratory Data Analysis/111 - Feature Encoding (Practicals).mp4 175.0 MB
10 - Transformers & Generative AI/365 - Introduction to Transformers.mp4 174.9 MB
2 - Python for Data Science/9 - Variables & Keywords.mp4 172.7 MB
10 - Transformers & Generative AI/409 - Model Testing - Ollama.mp4 172.5 MB
6 - Machine Learning/177 - Classification - Decision Tree (Visualizing).mp4 172.3 MB
8 - Deep Learning & Neural Networks/300 - Convolutional Neural Networks - Steps in CNN.mp4 167.0 MB
17 - Generative AI Projects/479 - Project 5 - AI Career Coach - Part 2.mp4 166.0 MB
17 - Generative AI Projects/483 - Project 7 - Text-to-SQL Chatbot - Part 2.mp4 165.7 MB
12 - RAG Assessment and Evaluation Metrics/435 - (PRACTICALS) Rag Evaluation by BLEU, ROUGE.mp4 164.8 MB
9 - Natural Language Processing/332 - NLP Basics - Bag of Words (Practicals).mp4 162.6 MB
6 - Machine Learning/172 - Classification - kNN Classifier (Practicals).mp4 162.2 MB
17 - Generative AI Projects/486 - Project 7 - Text-to-SQL Chatbot - Part 5.mp4 160.5 MB
7 - Time Series Analysis & Forecasting/279 - Project 3 - Demand Forecasting Part 2.mp4 160.4 MB
9 - Natural Language Processing/334 - NLP Basics - TF-IDF (Practicals).mp4 159.8 MB
6 - Machine Learning/174 - Classification - Decision Tree (Entropy based).mp4 156.3 MB
7 - Time Series Analysis & Forecasting/243 - Feature Scaling (Practicals).mp4 154.5 MB
4 - Exploratory Data Analysis/96 - Feature Scaling (Practicals).mp4 154.5 MB
9 - Natural Language Processing/358 - Neural Networks - GRU Part 2.mp4 153.7 MB
6 - Machine Learning/151 - Regression - Regression Metrics.mp4 150.6 MB
5 - SQL for Data Science/132 - Regular Expressions.mp4 148.8 MB
10 - Transformers & Generative AI/387 - LLM Basics - Prompt Engineering.mp4 146.5 MB
17 - Generative AI Projects/484 - Project 7 - Text-to-SQL Chatbot - Part 3.mp4 146.5 MB
6 - Machine Learning/155 - Regression - Linear Regression (Practicals).mp4 146.4 MB
10 - Transformers & Generative AI/412 - RAG Systems (Practicals) - Ollama.mp4 144.9 MB
10 - Transformers & Generative AI/389 - LLM Basics - Prompt Structures.mp4 144.4 MB
6 - Machine Learning/202 - Clustering - kMeans Clustering (Practicals).mp4 144.4 MB
9 - Natural Language Processing/352 - Neural Networks - LSTMs Part 6 (inpute gate).mp4 143.8 MB
6 - Machine Learning/201 - Clustering - kMeans Clustering.mp4 139.6 MB
6 - Machine Learning/144 - Pre-Requisites - Train-Test Split.mp4 139.0 MB
7 - Time Series Analysis & Forecasting/259 - Models - Grid Search (Part 1).mp4 138.4 MB
5 - SQL for Data Science/122 - Introduction to SQL.mp4 138.3 MB
18 - Interview Prep (NEW SECTION)/517 - Gen AI Interview #8.mp4 137.3 MB
17 - Generative AI Projects/487 - Project 7 - Text-to-SQL Chatbot - Part 6.mp4 137.1 MB
5 - SQL for Data Science/135 - Stored Procedures.mp4 136.1 MB
7 - Time Series Analysis & Forecasting/280 - Project 3 - Demand Forecasting Part 3.mp4 136.1 MB
10 - Transformers & Generative AI/394 - RAGs - Architecture Explanation.mp4 136.0 MB
6 - Machine Learning/204 - Clustering - Hierarchical Clustering (Practicals).mp4 135.5 MB
10 - Transformers & Generative AI/407 - Model Overview - Ollama.mp4 135.2 MB
13 - Introduction to Agentic AI/447 - LangChain Tool Calling Part #2.mp4 133.6 MB
11 - Generative AI (Advanced)/420 - PEFT and Quantization.mp4 133.0 MB
6 - Machine Learning/188 - Ensemble - Introduction to Ensemble Learning.mp4 131.6 MB
18 - Interview Prep (NEW SECTION)/507 - DL Interview #8.mp4 131.4 MB
10 - Transformers & Generative AI/410 - Python Implementation - Ollama.mp4 130.4 MB
9 - Natural Language Processing/362 - Neural Networks - Bi-Directional LSTMs.mp4 129.7 MB
12 - RAG Assessment and Evaluation Metrics/430 - Intrinsic Metrics (PPL Score).mp4 129.5 MB
10 - Transformers & Generative AI/396 - RAGs - Practical Use Cases.mp4 129.5 MB
13 - Introduction to Agentic AI/441 - LangChain (Built-in tools).mp4 128.6 MB
6 - Machine Learning/175 - Classification - Decision Tree (gini based).mp4 128.0 MB
10 - Transformers & Generative AI/366 - Self Attention.mp4 126.3 MB
7 - Time Series Analysis & Forecasting/266 - Models - Facebook Prophet (Uni vs Multi).mp4 125.7 MB
15 - ML - DL Deployment/458 - Flask Basic App.mp4 123.1 MB
6 - Machine Learning/152 - Regression - Regression Metrics (Practicals).mp4 122.7 MB
13 - Introduction to Agentic AI/448 - Tool Execution.mp4 122.3 MB
8 - Deep Learning & Neural Networks/311 - Recurrent Neural Networks - LSTMs (Practicals).mp4 121.6 MB
6 - Machine Learning/183 - Classification - Logistic Regression.mp4 121.6 MB
9 - Natural Language Processing/356 - Neural Networks - LSTMs Part 10 (Practicals #3).mp4 119.8 MB
5 - SQL for Data Science/134 - Views.mp4 118.9 MB
7 - Time Series Analysis & Forecasting/261 - Models - Final Model Building.mp4 118.8 MB
10 - Transformers & Generative AI/399 - Types of Prompting.mp4 116.1 MB
7 - Time Series Analysis & Forecasting/263 - Models - Facebook Prophet (Part 2).mp4 116.0 MB
6 - Machine Learning/194 - Ensemble - Ada Boost.mp4 114.4 MB
9 - Natural Language Processing/346 - Word Embeddings - Cosine Similarity.mp4 113.6 MB
18 - Interview Prep (NEW SECTION)/514 - Gen AI Interview #5.mp4 113.4 MB
9 - Natural Language Processing/361 - Neural Networks - GRU Part 5 (Practicals).mp4 112.8 MB
18 - Interview Prep (NEW SECTION)/498 - ML Interview #9.mp4 112.5 MB
7 - Time Series Analysis & Forecasting/253 - Models - ARIMA (Practicals Part 1).mp4 112.3 MB
8 - Deep Learning & Neural Networks/295 - Gradient Descent.mp4 110.4 MB
6 - Machine Learning/198 - Ensemble - Xtreme Gradient Boosting (XGB).mp4 109.9 MB
9 - Natural Language Processing/348 - Neural Networks - LSTMs Part 2 (Architecture).mp4 109.2 MB
8 - Deep Learning & Neural Networks/303 - Convolutional Neural Networks - Batch size vs iterations vs epochs.mp4 108.9 MB
8 - Deep Learning & Neural Networks/305 - Convolutional Neural Networks - Model Summary & Parameters.mp4 108.0 MB
8 - Deep Learning & Neural Networks/298 - Artificial Neural Networks - Hyper Parameter Optimization.mp4 107.6 MB
10 - Transformers & Generative AI/377 - DistilBERT.mp4 107.6 MB
4 - Exploratory Data Analysis/98 - Outlier Treatment (Practicals).mp4 107.3 MB
7 - Time Series Analysis & Forecasting/239 - 3-Sigma Technique.mp4 107.3 MB
9 - Natural Language Processing/355 - Neural Networks - LSTMs Part 9 (Practicals #2).mp4 106.8 MB
1 - Introduction/1 - Welcome Page.mp4 106.3 MB
17 - Generative AI Projects/478 - Project 5 - AI Career Coach - Part 1.mp4 106.0 MB
7 - Time Series Analysis & Forecasting/277 - Project 2 - Stock Market Prediction Part 3.mp4 105.7 MB
10 - Transformers & Generative AI/397 - LangChain.mp4 105.6 MB
7 - Time Series Analysis & Forecasting/254 - Models - ARIMA (Practicals Part 2).mp4 105.1 MB
7 - Time Series Analysis & Forecasting/274 - Project 1 - Energy Forecasting Part 3.mp4 105.1 MB
4 - Exploratory Data Analysis/115 - Univariate Analysis.mp4 103.2 MB
13 - Introduction to Agentic AI/438 - Introduction.mp4 103.0 MB
18 - Interview Prep (NEW SECTION)/489 - ML Interview Prep.mp4 101.6 MB
9 - Natural Language Processing/336 - NLP Basics - NER (Practicals).mp4 101.3 MB
8 - Deep Learning & Neural Networks/290 - Activation Function - Linear Function.mp4 101.2 MB
6 - Machine Learning/156 - Regression - Multiple Linear Regression (Practicals).mp4 101.0 MB
10 - Transformers & Generative AI/391 - RAGs - What and Why.mp4 100.2 MB
10 - Transformers & Generative AI/398 - Introduction to Prompt Engineering.mp4 99.1 MB
7 - Time Series Analysis & Forecasting/258 - Models - Best Transformation.mp4 99.0 MB
18 - Interview Prep (NEW SECTION)/501 - DL Interview #2.mp4 98.5 MB
10 - Transformers & Generative AI/364 - Transformer Types.mp4 97.6 MB
6 - Machine Learning/203 - Clustering - Hierarchical Clustering.mp4 95.7 MB
13 - Introduction to Agentic AI/442 - Custom Tools using Tool Decorator.mp4 95.4 MB
6 - Machine Learning/176 - Classification - Decision Tree (Practicals).mp4 94.5 MB
8 - Deep Learning & Neural Networks/302 - Convolutional Neural Networks - Image Augmentation.mp4 91.5 MB
6 - Machine Learning/218 - Hyper Parameter Optimization - Basics.mp4 90.0 MB
7 - Time Series Analysis & Forecasting/255 - Models - ARIMA (Final).mp4 88.4 MB
6 - Machine Learning/215 - Feature Engineering - Linear Discriminant Analysis (Practicals).mp4 88.1 MB
6 - Machine Learning/149 - Pre-Requisites - Feature Encoding (Practicals).mp4 87.5 MB
7 - Time Series Analysis & Forecasting/245 - Feature Encoding (Practicals).mp4 87.5 MB
5 - SQL for Data Science/123 - Constraints in SQL.mp4 85.3 MB
6 - Machine Learning/213 - Feature Engineering - Principal Component Analysis (Practicals).mp4 85.0 MB
7 - Time Series Analysis & Forecasting/283 - Project 3 - Demand Forecasting Part 6.mp4 84.9 MB
6 - Machine Learning/170 - Classification - kNN Classifier Example.mp4 83.9 MB
11 - Generative AI (Advanced)/421 - LoRA (Phase I - Low Rank).mp4 83.9 MB
6 - Machine Learning/200 - Clustering - Introduction to Clustering.mp4 81.7 MB
10 - Transformers & Generative AI/378 - AlBERT.mp4 81.3 MB
9 - Natural Language Processing/325 - NLP Basics - Handling Contractions.mp4 80.0 MB
10 - Transformers & Generative AI/395 - RAGs - Detailed Architecture Walkthrough.mp4 79.9 MB
9 - Natural Language Processing/342 - Word Embeddings - Word2Vec CBOW.mp4 79.1 MB
3 - Business Statistics/80 - Z Test.mp4 78.5 MB
8 - Deep Learning & Neural Networks/293 - Activation Function - ReLu Function.mp4 78.5 MB
4 - Exploratory Data Analysis/114 - Data Cleaning.mp4 78.1 MB
12 - RAG Assessment and Evaluation Metrics/427 - N-Gram Metrics (BLEU).mp4 77.4 MB
9 - Natural Language Processing/344 - Word Embeddings - GloVe.mp4 77.4 MB
18 - Interview Prep (NEW SECTION)/500 - DL Interview #1.mp4 77.4 MB
6 - Machine Learning/211 - Feature Engineering - Chi-Square (Practicals).mp4 77.2 MB
18 - Interview Prep (NEW SECTION)/515 - Gen AI Interview #6.mp4 76.9 MB
10 - Transformers & Generative AI/374 - BERT - Input Embeddings.mp4 76.7 MB
11 - Generative AI (Advanced)/419 - Fine Tuning.mp4 76.3 MB
9 - Natural Language Processing/324 - NLP Basics - SCR.mp4 74.5 MB
9 - Natural Language Processing/347 - Neural Networks - LSTMs Part 1.mp4 73.8 MB
10 - Transformers & Generative AI/403 - Vector Database vs Vector Index.mp4 73.6 MB
15 - ML - DL Deployment/457 - Introduction to Flask.mp4 73.5 MB
6 - Machine Learning/171 - Classification - Practicals Part 1.mp4 73.5 MB
4 - Exploratory Data Analysis/109 - Feature Binning (Practicals).mp4 73.3 MB
18 - Interview Prep (NEW SECTION)/495 - ML Interview #6.mp4 73.2 MB
6 - Machine Learning/181 - Classification - SVM Classifier Part 1.mp4 72.8 MB
18 - Interview Prep (NEW SECTION)/492 - ML Interview #3.mp4 72.7 MB
6 - Machine Learning/220 - Hyper Parameter Optimization - GridSearch vs RandomizedSearch.mp4 72.0 MB
8 - Deep Learning & Neural Networks/287 - What is a Neuron.mp4 71.2 MB
9 - Natural Language Processing/341 - Word Embeddings - Word2Vec - Check X Features.mp4 69.0 MB
7 - Time Series Analysis & Forecasting/273 - Project 1 - Energy Forecasting Part 2.mp4 68.9 MB
7 - Time Series Analysis & Forecasting/264 - Models - Facebook Prophet (Part 3).mp4 68.0 MB
3 - Business Statistics/73 - Correlation.mp4 67.7 MB
8 - Deep Learning & Neural Networks/299 - Convolutional Neural Networks - What is CNN.mp4 67.4 MB
13 - Introduction to Agentic AI/453 - AI Agent Code Explanation and Theory Part #1.mp4 67.2 MB
5 - SQL for Data Science/121 - Data Architecture - File server vs client server.mp4 66.9 MB
18 - Interview Prep (NEW SECTION)/499 - ML Interview #10.mp4 66.9 MB
9 - Natural Language Processing/343 - Word Embeddings - Word2Vec Skip Grams.mp4 66.6 MB
18 - Interview Prep (NEW SECTION)/497 - ML Interview #8.mp4 66.5 MB
11 - Generative AI (Advanced)/424 - qLoRA (Quanitzed Low Rank Adapters).mp4 66.1 MB
9 - Natural Language Processing/339 - Word Embeddings - Pre-Trained Word2Vec.mp4 65.5 MB
13 - Introduction to Agentic AI/454 - AI Agent Code Explanation and Theory Part #2.mp4 65.3 MB
18 - Interview Prep (NEW SECTION)/502 - DL Interview #3.mp4 65.1 MB
8 - Deep Learning & Neural Networks/309 - Recurrent Neural Networks - Vanishing Gradient & Exploding Gradient Problem.mp4 65.1 MB
7 - Time Series Analysis & Forecasting/237 - Handle Missing Value (Practicals).mp4 64.0 MB
13 - Introduction to Agentic AI/445 - LangChain Toolkits.mp4 63.7 MB
9 - Natural Language Processing/351 - Neural Networks - LSTMs Part 5 (forget gate).mp4 63.7 MB
11 - Generative AI (Advanced)/416 - Introduction to Fine Tuning.mp4 63.7 MB
6 - Machine Learning/223 - Hyper Parameter Optimization - GridSearchCV (Practicals).mp4 63.3 MB
3 - Business Statistics/82 - ANOVA.mp4 63.2 MB
10 - Transformers & Generative AI/406 - LSH.mp4 62.8 MB
8 - Deep Learning & Neural Networks/314 - Pre-Trained Models - VGG16.mp4 62.0 MB
10 - Transformers & Generative AI/388 - LLM Basics - Prompt Tuning.mp4 61.8 MB
18 - Interview Prep (NEW SECTION)/490 - ML Interview #1.mp4 61.7 MB
10 - Transformers & Generative AI/393 - RAGs - Paper Explanation.mp4 61.3 MB
6 - Machine Learning/182 - Classification - SVM Classifier Part 2.mp4 61.0 MB
2 - Python for Data Science/23 - Data Visualization.mp4 60.6 MB
13 - Introduction to Agentic AI/450 - Travel Planning Agent Part #1.mp4 60.1 MB
9 - Natural Language Processing/345 - Word Embeddings - FastText.mp4 60.0 MB
3 - Business Statistics/81 - Chi Square Test.mp4 59.9 MB
9 - Natural Language Processing/331 - NLP Basics - Bag of Words.mp4 59.3 MB
3 - Business Statistics/79 - T Test.mp4 59.1 MB
9 - Natural Language Processing/335 - NLP Basics - Part of Speech Tagging and Named Entity Recognition.mp4 58.3 MB
4 - Exploratory Data Analysis/117 - Bivariate Analysis Part 2.mp4 57.5 MB
3 - Business Statistics/72 - Covariance.mp4 57.4 MB
6 - Machine Learning/205 - Clustering - Mean Shift Clustering.mp4 56.5 MB
6 - Machine Learning/206 - Feature Engineering - Introduction.mp4 56.2 MB
18 - Interview Prep (NEW SECTION)/512 - Gen AI Interview #3.mp4 55.9 MB
6 - Machine Learning/180 - Classification - Naive Bayes Classifier.mp4 55.8 MB
7 - Time Series Analysis & Forecasting/276 - Project 2 - Stock Market Prediction Part 2.mp4 55.5 MB
6 - Machine Learning/140 - Types of ML.mp4 55.4 MB
10 - Transformers & Generative AI/381 - GPT Masked Multi Head Attention.mp4 55.3 MB
6 - Machine Learning/166 - Classification - Confusion Matrix.mp4 55.2 MB
4 - Exploratory Data Analysis/92 - Handle Missing Values (Practicals).mp4 54.4 MB
7 - Time Series Analysis & Forecasting/262 - Models - Facebook Prophet (Part 1).mp4 54.4 MB
10 - Transformers & Generative AI/400 - Few Shot Limitations.mp4 54.2 MB
18 - Interview Prep (NEW SECTION)/513 - Gen AI Interview #4.mp4 54.1 MB
18 - Interview Prep (NEW SECTION)/505 - DL Interview #6.mp4 53.9 MB
18 - Interview Prep (NEW SECTION)/493 - ML Interview #4.mp4 53.8 MB
7 - Time Series Analysis & Forecasting/240 - Feature Scaling.mp4 53.7 MB
4 - Exploratory Data Analysis/93 - Feature Scaling (Theory).mp4 53.7 MB
6 - Machine Learning/145 - Pre-Requisites - Feature Scaling.mp4 53.7 MB
10 - Transformers & Generative AI/402 - Vector Databases.mp4 52.9 MB
6 - Machine Learning/190 - Ensemble - Bagging vs Random Forest.mp4 52.8 MB
10 - Transformers & Generative AI/404 - How Vector Databases works.mp4 52.5 MB
8 - Deep Learning & Neural Networks/315 - Pre-Trained Models - MobileNet.mp4 52.1 MB
10 - Transformers & Generative AI/382 - GPT Blocks.mp4 51.9 MB
12 - RAG Assessment and Evaluation Metrics/431 - Intrinsic Metrics (PPL Score) Practicals.mp4 51.7 MB
6 - Machine Learning/154 - Regression - Multiple Linear Regression.mp4 51.7 MB
18 - Interview Prep (NEW SECTION)/518 - Gen AI Interview #9.mp4 51.7 MB
6 - Machine Learning/143 - Pre-Requisites - Features.mp4 51.6 MB
13 - Introduction to Agentic AI/451 - Travel Planning Agent Part #2.mp4 51.4 MB
6 - Machine Learning/173 - Classification - Decision Tree.mp4 51.4 MB
9 - Natural Language Processing/333 - NLP Basics - TF-IDF.mp4 51.0 MB
11 - Generative AI (Advanced)/422 - LoRA (Phase II - Adapters).mp4 50.6 MB
8 - Deep Learning & Neural Networks/289 - Activation Function - Step Function.mp4 50.3 MB
11 - Generative AI (Advanced)/423 - LoRA (Phase III - Low Rank + Adapters).mp4 49.9 MB
3 - Business Statistics/83 - Correlation Test (Practicals).mp4 49.8 MB
10 - Transformers & Generative AI/370 - Introduction to BERT.mp4 49.5 MB
2 - Python for Data Science/8 - Introduction to Python.mp4 48.8 MB
4 - Exploratory Data Analysis/118 - EDA Report.mp4 48.0 MB
6 - Machine Learning/179 - Classification - Random Forest Classifier (Practicals).mp4 47.4 MB
6 - Machine Learning/186 - Classification - Issues in Classification (Part 2).mp4 47.1 MB
7 - Time Series Analysis & Forecasting/225 - Time Series vs Regression.mp4 47.0 MB
10 - Transformers & Generative AI/375 - ARLM vs AELM.mp4 46.5 MB
17 - Generative AI Projects/482 - Project 7 - Text-to-SQL Chatbot - Part 1.mp4 46.4 MB
10 - Transformers & Generative AI/383 - GPT Training.mp4 46.2 MB
7 - Time Series Analysis & Forecasting/256 - Models - Decomposition.mp4 46.0 MB
12 - RAG Assessment and Evaluation Metrics/432 - Model-based Metrics (BARTScore vs BERTScore).mp4 45.6 MB
4 - Exploratory Data Analysis/112 - Case Study.mp4 45.4 MB
18 - Interview Prep (NEW SECTION)/496 - ML Interview #7.mp4 45.2 MB
6 - Machine Learning/165 - Classification - Log Loss.mp4 44.8 MB
9 - Natural Language Processing/360 - Neural Networks - GRU Part 4 (update gate).mp4 43.8 MB
10 - Transformers & Generative AI/411 - RAG Systems - Ollama.mp4 43.5 MB
17 - Generative AI Projects/488 - Project 7 - Text-to-SQL Chatbot - Part 7.mp4 43.3 MB
9 - Natural Language Processing/327 - NLP Basics - Stop Word Removal.mp4 43.2 MB
6 - Machine Learning/148 - Pre-Requisites - Feature Encoding.mp4 43.2 MB
7 - Time Series Analysis & Forecasting/244 - Feature Encoding.mp4 43.2 MB
4 - Exploratory Data Analysis/110 - Feature Encoding (Theory).mp4 43.1 MB
10 - Transformers & Generative AI/373 - BERT - Pre Tuning (Masked LM).mp4 42.4 MB
3 - Business Statistics/65 - Normal Distribution Part 2.mp4 42.4 MB
10 - Transformers & Generative AI/386 - LLM Basics - Prompt.mp4 42.3 MB
6 - Machine Learning/160 - Regression - Ridge Regression.mp4 42.0 MB
3 - Business Statistics/75 - Hypothesis Testing.mp4 42.0 MB
8 - Deep Learning & Neural Networks/291 - Activation Function - Sigmoid Function.mp4 41.8 MB
9 - Natural Language Processing/350 - Neural Networks - LSTMs Part 4 (Pointwise Operations).mp4 41.3 MB
18 - Interview Prep (NEW SECTION)/504 - DL Interview #5.mp4 41.1 MB
15 - ML - DL Deployment/461 - AWS.mp4 40.9 MB
9 - Natural Language Processing/321 - Intro to NLP - Key Challenges.mp4 39.9 MB
13 - Introduction to Agentic AI/444 - Custom Tools using BaseTool.mp4 39.3 MB
8 - Deep Learning & Neural Networks/288 - Activation Functions.mp4 39.2 MB
6 - Machine Learning/139 - Introduction to ML.mp4 39.1 MB
6 - Machine Learning/169 - Classification - kNN Classifier.mp4 38.9 MB
12 - RAG Assessment and Evaluation Metrics/428 - N-Gram Metrics (ROUGE).mp4 38.6 MB
6 - Machine Learning/157 - Regression - Polynomial Regression.mp4 38.5 MB
3 - Business Statistics/64 - Normal Distribution Part 1.mp4 38.4 MB
11 - Generative AI (Advanced)/418 - When to use RAGs vs When to use Fine-Tuned models.mp4 38.4 MB
18 - Interview Prep (NEW SECTION)/516 - Gen AI Interview #7.mp4 38.4 MB
3 - Business Statistics/62 - Binomial Distribution.mp4 38.2 MB
10 - Transformers & Generative AI/367 - Encoder Architecture.mp4 38.1 MB
10 - Transformers & Generative AI/385 - LLM Basics - Context Window.mp4 38.0 MB
18 - Interview Prep (NEW SECTION)/510 - Gen AI Interview #1.mp4 37.6 MB
9 - Natural Language Processing/328 - NLP Basics - nGrams.mp4 37.3 MB
13 - Introduction to Agentic AI/439 - Agentic AI - Examples.mp4 37.0 MB
18 - Interview Prep (NEW SECTION)/503 - DL Interview #4.mp4 36.7 MB
10 - Transformers & Generative AI/414 - RAG Systems with xAI - LLM APIs.mp4 36.4 MB
8 - Deep Learning & Neural Networks/286 - Understanding Deep Learning.mp4 36.2 MB
7 - Time Series Analysis & Forecasting/230 - Decomposition (Practicals).mp4 36.0 MB
2 - Python for Data Science/7 - Let's leverage chatGPT for help!!.mp4 35.8 MB
6 - Machine Learning/153 - Regression - Simple Linear Regression.mp4 35.7 MB
7 - Time Series Analysis & Forecasting/275 - Project 2 - Stock Market Prediction Part 1.mp4 35.7 MB
3 - Business Statistics/29 - Descriptive Stats.mp4 35.6 MB
6 - Machine Learning/217 - Feature Engineering - kPCA & QDA (Practicals).mp4 35.6 MB
18 - Interview Prep (NEW SECTION)/494 - ML Interview #5.mp4 35.5 MB
10 - Transformers & Generative AI/376 - RoBERTa.mp4 35.2 MB
6 - Machine Learning/214 - Feature Engineering - Linear Discriminant Analysis.mp4 35.0 MB
6 - Machine Learning/196 - Ensemble - CF vs LF.mp4 35.0 MB
9 - Natural Language Processing/353 - Neural Networks - LSTMs Part 7 (output gate).mp4 34.4 MB
18 - Interview Prep (NEW SECTION)/506 - DL Interview #7.mp4 34.4 MB
13 - Introduction to Agentic AI/443 - Custom Tools using StructuredTool.mp4 34.3 MB
10 - Transformers & Generative AI/369 - Decoder Architecture.mp4 33.2 MB
6 - Machine Learning/167 - Classification - AUC ROC Curve.mp4 33.1 MB
9 - Natural Language Processing/320 - Intro to NLP - Introduction continued.mp4 32.9 MB
13 - Introduction to Agentic AI/440 - What are Tools.mp4 32.7 MB
10 - Transformers & Generative AI/368 - Contextual Embeddings.mp4 32.6 MB
6 - Machine Learning/185 - Classification - Issues in Classification (Part 1).mp4 32.0 MB
9 - Natural Language Processing/319 - Intro to NLP - Introduction.mp4 31.6 MB
9 - Natural Language Processing/359 - Neural Networks - GRU Part 3 (reset gate).mp4 30.9 MB
7 - Time Series Analysis & Forecasting/238 - Outlier Treatment.mp4 30.9 MB
4 - Exploratory Data Analysis/97 - Outlier Treatment (Theory).mp4 30.9 MB
6 - Machine Learning/216 - Feature Engineering - kPCA & QDA.mp4 30.7 MB
6 - Machine Learning/189 - Ensemble - Bagging.mp4 30.7 MB
3 - Business Statistics/50 - Variance Standard Deviation.mp4 30.5 MB
3 - Business Statistics/27 - Introduction.mp4 30.1 MB
3 - Business Statistics/40 - Population Sampling.mp4 30.0 MB
6 - Machine Learning/159 - Regression - Bias Variance Tradeoff.mp4 29.9 MB
7 - Time Series Analysis & Forecasting/250 - Models - MA Theory.mp4 29.9 MB
6 - Machine Learning/161 - Regression - Lasso Regression.mp4 29.7 MB
7 - Time Series Analysis & Forecasting/251 - Models - ACF - PACF Plots.mp4 29.7 MB
6 - Machine Learning/168 - Classification - Classification Report.mp4 29.4 MB
6 - Machine Learning/193 - Ensemble - Boosting.mp4 29.1 MB
7 - Time Series Analysis & Forecasting/265 - Models - Multi Variate Time Series Analysis.mp4 29.1 MB
9 - Natural Language Processing/326 - NLP Basics - Tokenization.mp4 29.0 MB
4 - Exploratory Data Analysis/89 - Steps involved in EDA (Data Sourcing).mp4 28.9 MB
18 - Interview Prep (NEW SECTION)/511 - Gen AI Interview #2.mp4 28.9 MB
7 - Time Series Analysis & Forecasting/228 - Components of Time Series.mp4 28.8 MB
9 - Natural Language Processing/349 - Neural Networks - LSTMs Part 3 (Deep Dive).mp4 28.4 MB
4 - Exploratory Data Analysis/102 - Univariate Analysis.mp4 28.2 MB
10 - Transformers & Generative AI/401 - Chain of Thoughts Prompting.mp4 28.1 MB
3 - Business Statistics/38 - Probability Sampling.mp4 27.6 MB
7 - Time Series Analysis & Forecasting/272 - Project 1 - Energy Forecasting Part 1.mp4 27.5 MB
7 - Time Series Analysis & Forecasting/249 - Models - AR Theory.mp4 27.5 MB
3 - Business Statistics/57 - Conditional Probability.mp4 27.3 MB
16 - Data Engineering Basics/471 - Data Lake.mp4 27.1 MB
8 - Deep Learning & Neural Networks/316 - Transfer Learning.mp4 26.9 MB
3 - Business Statistics/31 - Qualitative Data.mp4 26.6 MB
7 - Time Series Analysis & Forecasting/231 - Additive - Multiplicative Decomposition.mp4 26.5 MB
12 - RAG Assessment and Evaluation Metrics/429 - N-Gram Metrics (METEOR).mp4 26.4 MB
7 - Time Series Analysis & Forecasting/233 - Testing TS Stationarity.mp4 26.3 MB
3 - Business Statistics/68 - Calculating Probability with Z-score for Normal Distribution Part 1.mp4 26.2 MB
13 - Introduction to Agentic AI/452 - Travel Planning Agent Part #3.mp4 26.1 MB
8 - Deep Learning & Neural Networks/310 - Recurrent Neural Networks - LSTMs.mp4 26.0 MB
16 - Data Engineering Basics/464 - What is ETL.mp4 25.8 MB
12 - RAG Assessment and Evaluation Metrics/426 - Introduction to RAG Evaluation.mp4 25.2 MB
7 - Time Series Analysis & Forecasting/236 - Handle Missing Value.mp4 25.2 MB
4 - Exploratory Data Analysis/91 - Handle Missing Values (Theory).mp4 25.2 MB
3 - Business Statistics/77 - p-value.mp4 25.0 MB
3 - Business Statistics/61 - Uniform Distribution.mp4 24.3 MB
6 - Machine Learning/150 - Regression - Introduction to Regression Models.mp4 24.1 MB
3 - Business Statistics/54 - Addition Rule.mp4 24.0 MB
6 - Machine Learning/178 - Classification - Random Forest Classifier.mp4 23.6 MB
7 - Time Series Analysis & Forecasting/267 - Introduction to Metrics.mp4 23.5 MB
11 - Generative AI (Advanced)/417 - RAGs vs Fine-Tuning.mp4 23.0 MB
8 - Deep Learning & Neural Networks/307 - Recurrent Neural Networks - Basics.mp4 22.7 MB
4 - Exploratory Data Analysis/108 - Feature Binning (Theory).mp4 22.6 MB
3 - Business Statistics/53 - Probability.mp4 22.5 MB
6 - Machine Learning/219 - Hyper Parameter Optimization - Manual HPO.mp4 22.2 MB
2 - Python for Data Science/6 - Google Colab, what's that.mp4 22.1 MB
10 - Transformers & Generative AI/379 - Introduction to GPT (Decoder Only).mp4 21.9 MB
6 - Machine Learning/207 - Feature Engineering - RFE and SFS.mp4 21.7 MB
9 - Natural Language Processing/323 - NLP Basics - Case Folding.mp4 21.5 MB
6 - Machine Learning/210 - Feature Engineering - Chi-Square.mp4 21.4 MB
16 - Data Engineering Basics/469 - Why do we need Staging.mp4 21.2 MB
7 - Time Series Analysis & Forecasting/248 - Models - ARIMA Part 2.mp4 21.1 MB
9 - Natural Language Processing/340 - Word Embeddings - Word2Vec Intuition.mp4 20.8 MB
6 - Machine Learning/163 - Classification - Introduction to Classification.mp4 20.6 MB
18 - Interview Prep (NEW SECTION)/508 - DL Interview #9.mp4 20.6 MB
9 - Natural Language Processing/322 - Intro to NLP - Linguistics.mp4 20.5 MB
3 - Business Statistics/45 - Median.mp4 20.1 MB
7 - Time Series Analysis & Forecasting/232 - Stationarity.mp4 19.3 MB
10 - Transformers & Generative AI/380 - GPT Architecture.mp4 19.1 MB
3 - Business Statistics/69 - Calculating Probability with Z-score for Normal Distribution Part 2.mp4 19.1 MB
7 - Time Series Analysis & Forecasting/227 - Anomaly Detection.mp4 18.7 MB
4 - Exploratory Data Analysis/99 - Invalid Data.mp4 18.7 MB
15 - ML - DL Deployment/456 - Deployment Basics.mp4 18.5 MB
3 - Business Statistics/63 - Poisson Distribution.mp4 18.3 MB
3 - Business Statistics/39 - Non probability sampling.mp4 17.9 MB
4 - Exploratory Data Analysis/103 - Bivariate Analysis.mp4 17.8 MB
16 - Data Engineering Basics/465 - ETL Tools.mp4 17.7 MB
4 - Exploratory Data Analysis/107 - Derived Metrics.mp4 17.7 MB
6 - Machine Learning/164 - Classification - Types of Classification.mp4 17.5 MB
16 - Data Engineering Basics/466 - What is Data Warehouse.mp4 17.3 MB
16 - Data Engineering Basics/472 - Data lake vs Data Warehouse.mp4 17.2 MB
3 - Business Statistics/41 - Why n-1 and not n.mp4 17.1 MB
9 - Natural Language Processing/329 - NLP Basics - Vectorization.mp4 16.9 MB
10 - Transformers & Generative AI/371 - Configurations of BERT.mp4 16.9 MB
8 - Deep Learning & Neural Networks/296 - Artificial Neural Networks - Intuition.mp4 16.8 MB
7 - Time Series Analysis & Forecasting/224 - Introduction to TSA.mp4 16.5 MB
3 - Business Statistics/37 - Cluster Random Sampling.mp4 16.4 MB
3 - Business Statistics/78 - Types of Test.mp4 16.1 MB
4 - Exploratory Data Analysis/87 - Visualization.mp4 16.0 MB
3 - Business Statistics/44 - Mean.mp4 15.6 MB
6 - Machine Learning/195 - Ensemble - Gradient Boost.mp4 15.6 MB
5 - SQL for Data Science/120 - Installation.mp4 15.4 MB
3 - Business Statistics/56 - Cumulative Probability.mp4 15.1 MB
4 - Exploratory Data Analysis/90 - Steps involved in EDA (Data Cleaning).mp4 15.1 MB
8 - Deep Learning & Neural Networks/292 - Activation Function - TanH Function.mp4 15.0 MB
3 - Business Statistics/46 - Mode.mp4 15.0 MB
16 - Data Engineering Basics/467 - Benefits of Data Warehouse.mp4 14.7 MB
4 - Exploratory Data Analysis/85 - DA,DS Processes.mp4 14.4 MB
10 - Transformers & Generative AI/415 - RAG Systems with xAI (Practicals) - LLM APIs - Power+BI+Ebook.pdf 14.4 MB
12 - RAG Assessment and Evaluation Metrics/434 - (PRACTICALS) Rag Evaluation by RAGAS - Power+BI+Ebook.pdf 14.4 MB
7 - Time Series Analysis & Forecasting/234 - Transformation.mp4 14.3 MB
3 - Business Statistics/66 - Skewness.mp4 14.2 MB
3 - Business Statistics/59 - Bayes Theorem 2.mp4 14.0 MB
7 - Time Series Analysis & Forecasting/257 - Models - ACF - PACF.mp4 13.9 MB
3 - Business Statistics/55 - Independent Events.mp4 13.9 MB
3 - Business Statistics/74 - Covariance VS Correlation.mp4 13.9 MB
10 - Transformers & Generative AI/372 - BERT - Fine Tuning.mp4 13.6 MB
9 - Natural Language Processing/337 - Word Embeddings - Word2Vec Introduction.mp4 13.5 MB
7 - Time Series Analysis & Forecasting/278 - Project 3 - Demand Forecasting Part 1.mp4 13.5 MB
6 - Machine Learning/197 - Ensemble - Cross Entropy.mp4 13.3 MB
3 - Business Statistics/76 - Tailed Tests.mp4 13.2 MB
3 - Business Statistics/70 - Calculating Probability with Z-score for Normal Distribution Part 3.mp4 12.9 MB
8 - Deep Learning & Neural Networks/308 - Recurrent Neural Networks - Types of RNN.mp4 12.8 MB
9 - Natural Language Processing/357 - Neural Networks - GRU Part 1.mp4 12.3 MB
4 - Exploratory Data Analysis/86 - What is EDA.mp4 12.3 MB
4 - Exploratory Data Analysis/94 - Standardization Example.mp4 12.1 MB
6 - Machine Learning/146 - Pre-Requisites - Standardization Example.mp4 12.1 MB
7 - Time Series Analysis & Forecasting/241 - Feature Scaling - Standardization.mp4 12.1 MB
3 - Business Statistics/47 - Measures of Dispersion.mp4 12.0 MB
7 - Time Series Analysis & Forecasting/260 - Models - Grid Search (Part 2).mp4 11.8 MB
3 - Business Statistics/49 - IQR.mp4 11.6 MB
16 - Data Engineering Basics/468 - Data Warehouse Structure.mp4 11.6 MB
3 - Business Statistics/32 - Quantitative Data.mp4 11.5 MB
7 - Time Series Analysis & Forecasting/235 - Introduction to Pre-Processing.mp4 11.0 MB
3 - Business Statistics/36 - Types of Sampling.mp4 11.0 MB
3 - Business Statistics/51 - Mean Deviation.mp4 10.8 MB
4 - Exploratory Data Analysis/105 - Numerical Analysis.mp4 10.7 MB
13 - Introduction to Agentic AI/446 - LangChain Tool Calling Part #1.mp4 10.6 MB
7 - Time Series Analysis & Forecasting/271 - Mean Absolute Percentage Error.mp4 10.5 MB
3 - Business Statistics/34 - Population vs Sample.mp4 10.4 MB
9 - Natural Language Processing/330 - NLP Basics - Word Embeddings.mp4 9.8 MB
7 - Time Series Analysis & Forecasting/226 - Time Series Analysis.mp4 9.6 MB
3 - Business Statistics/35 - Why Sampling is important.mp4 9.3 MB
6 - Machine Learning/141 - Use Cases Part 1.mp4 9.2 MB
6 - Machine Learning/138 - Agenda.mp4 8.8 MB
16 - Data Engineering Basics/473 - Elements of Datalake.mp4 8.8 MB
16 - Data Engineering Basics/470 - What are Data Marts.mp4 8.4 MB
7 - Time Series Analysis & Forecasting/281 - Project 3 - Demand Forecasting Part 4.mp4 8.3 MB
7 - Time Series Analysis & Forecasting/252 - Models - Find p,d,q in ARIMA.mp4 7.9 MB
4 - Exploratory Data Analysis/88 - Agenda.mp4 7.9 MB
9 - Natural Language Processing/338 - Word Embeddings - Word2Vec Part 2.mp4 7.8 MB
3 - Business Statistics/67 - Kurtosis.mp4 7.6 MB
7 - Time Series Analysis & Forecasting/247 - Models - ARIMA Part 1.mp4 7.6 MB
3 - Business Statistics/30 - Inferential Stats.mp4 7.5 MB
4 - Exploratory Data Analysis/95 - Normalization Example.mp4 7.4 MB
7 - Time Series Analysis & Forecasting/242 - Feature Scaling - Normalization.mp4 7.4 MB
6 - Machine Learning/147 - Pre-Requisites - Normalization Example.mp4 7.4 MB
8 - Deep Learning & Neural Networks/285 - Introduction to Deep Learning.mp4 6.8 MB
4 - Exploratory Data Analysis/101 - Types of Analysis.mp4 6.8 MB
4 - Exploratory Data Analysis/100 - Types of Data.mp4 6.5 MB
3 - Business Statistics/60 - Probability Distrubution (Agenda).mp4 5.6 MB
3 - Business Statistics/43 - Measures of Central Tendency.mp4 5.6 MB
3 - Business Statistics/58 - Bayes Theorem 1.mp4 5.5 MB
6 - Machine Learning/142 - Use Cases Part 2.mp4 5.4 MB
7 - Time Series Analysis & Forecasting/269 - Mean Squarred Error.mp4 4.6 MB
7 - Time Series Analysis & Forecasting/270 - Root Mean Squarred Error.mp4 4.5 MB
10 - Transformers & Generative AI/390 - RAGs - Introduction to RAG.mp4 4.5 MB
3 - Business Statistics/48 - Range.mp4 4.3 MB
7 - Time Series Analysis & Forecasting/246 - Models - Algorithms.mp4 4.3 MB
7 - Time Series Analysis & Forecasting/268 - Forecasting Evaluation Metrics.mp4 4.3 MB
7 - Time Series Analysis & Forecasting/229 - Decomposition.mp4 4.2 MB
3 - Business Statistics/33 - Sampling Techniques (Agenda).mp4 4.1 MB
4 - Exploratory Data Analysis/104 - Multivariate Analysis.mp4 3.0 MB
3 - Business Statistics/42 - Descriptive Analytics (Agenda).mp4 2.7 MB
3 - Business Statistics/52 - Probability (Agenda).mp4 2.5 MB
16 - Data Engineering Basics/463 - Introduction to Data Engineering.mp4 1.9 MB
3 - Business Statistics/28 - Types of Data (Agenda).mp4 1.6 MB
3 - Business Statistics/71 - Covariance & Correlation (Agenda).mp4 1.3 MB
10 - Transformers & Generative AI/412 - RAG Systems (Practicals) - Ollama - RAGPaper.pdf 864.6 KB
10 - Transformers & Generative AI/415 - RAG Systems with xAI (Practicals) - LLM APIs - RAGPaper.pdf 864.6 KB
2 - Python for Data Science/5 - Let's install Python together!! - Python+Installation+Guide.pdf 842.0 KB
12 - RAG Assessment and Evaluation Metrics/434 - (PRACTICALS) Rag Evaluation by RAGAS - RAG_Metrics_Evaluation.ipynb 78.3 KB
12 - RAG Assessment and Evaluation Metrics/433 - RAGAS Framework (RAG Assessment).en.srt 77.6 KB
17 - Generative AI Projects/476 - Project 3 - Automated AI Claims Processing using Gen AI.en.srt 62.9 KB
17 - Generative AI Projects/474 - Project 1 - ChatScholar (EdTech Project).en.srt 60.1 KB
17 - Generative AI Projects/481 - Project 6 - Sustainability Chatbot (using xAI's Grok-3 AI).en.srt 59.7 KB
6 - Machine Learning/162 - Regression - Lasso & Ridge Regression (Practicals).en.srt 57.0 KB
12 - RAG Assessment and Evaluation Metrics/434 - (PRACTICALS) Rag Evaluation by RAGAS.en.srt 51.0 KB
17 - Generative AI Projects/477 - Project 4 - Multi PDF RAG Chatbot built on Web Scraped Data.en.srt 47.9 KB
13 - Introduction to Agentic AI/449 - Currency Conversion Tool (Mini Project).en.srt 47.7 KB
6 - Machine Learning/187 - Classification - Project.en.srt 47.4 KB
2 - Python for Data Science/22 - Pandas.en.srt 44.6 KB
9 - Natural Language Processing/354 - Neural Networks - LSTMs Part 8 (Practicals #1).en.srt 42.7 KB
6 - Machine Learning/151 - Regression - Regression Metrics.en.srt 42.5 KB
10 - Transformers & Generative AI/365 - Introduction to Transformers.en.srt 41.9 KB
17 - Generative AI Projects/475 - Project 2 - Research RAG Chatbot.en.srt 41.2 KB
6 - Machine Learning/191 - Ensemble - Bagging (Practicals #1).en.srt 40.4 KB
5 - SQL for Data Science/128 - Data Import Export.en.srt 40.3 KB
2 - Python for Data Science/17 - Map Reduce Filter.en.srt 39.7 KB
10 - Transformers & Generative AI/396 - RAGs - Practical Use Cases.en.srt 39.2 KB
6 - Machine Learning/212 - Feature Engineering - Principal Component Analysis.en.srt 38.4 KB
2 - Python for Data Science/21 - NumPy.en.srt 38.2 KB
15 - ML - DL Deployment/462 - AWS Deployment (Breast Cancer Prediction).en.srt 37.8 KB
6 - Machine Learning/188 - Ensemble - Introduction to Ensemble Learning.en.srt 37.0 KB
13 - Introduction to Agentic AI/437 - Download the Course Resources - Tools_(Agentic_AI).ipynb 36.9 KB
5 - SQL for Data Science/127 - Joins.en.srt 36.6 KB
9 - Natural Language Processing/362 - Neural Networks - Bi-Directional LSTMs.en.srt 35.5 KB
5 - SQL for Data Science/126 - Table Basics - DMLs.en.srt 35.5 KB
4 - Exploratory Data Analysis/106 - Analysis Practicals.en.srt 35.4 KB
10 - Transformers & Generative AI/405 - Vector Database (Practicals).en.srt 35.4 KB
2 - Python for Data Science/11 - Lists.en.srt 35.4 KB
6 - Machine Learning/184 - Classification - Practicals so far.en.srt 35.2 KB
2 - Python for Data Science/24 - Matplotlib.en.srt 34.4 KB
10 - Transformers & Generative AI/366 - Self Attention.en.srt 33.8 KB
5 - SQL for Data Science/124 - Table Basics - DDLs.en.srt 33.8 KB
2 - Python for Data Science/12 - Tuples.en.srt 33.4 KB
5 - SQL for Data Science/135 - Stored Procedures.en.srt 33.2 KB
6 - Machine Learning/199 - Ensemble - Project.en.srt 33.2 KB
6 - Machine Learning/158 - Regression - Polynomial Regression (Practicals).en.srt 33.0 KB
6 - Machine Learning/155 - Regression - Linear Regression (Practicals).en.srt 32.5 KB
15 - ML - DL Deployment/460 - Flask App (Breast Cancer Prediction).en.srt 32.2 KB
10 - Transformers & Generative AI/413 - Model Overview - LLM APIs.en.srt 31.8 KB
2 - Python for Data Science/16 - Functions.en.srt 31.7 KB
9 - Natural Language Processing/358 - Neural Networks - GRU Part 2.en.srt 31.6 KB
6 - Machine Learning/208 - Feature Engineering - RFE (Practicals).en.srt 31.0 KB
17 - Generative AI Projects/480 - Project 5 - AI Career Coach - Part 3.en.srt 30.3 KB
10 - Transformers & Generative AI/412 - RAG Systems (Practicals) - Ollama.en.srt 30.2 KB
8 - Deep Learning & Neural Networks/313 - Pre-Trained Models (Practicals).en.srt 29.7 KB
13 - Introduction to Agentic AI/437 - Download the Course Resources - Tool_Calling.ipynb 29.3 KB
6 - Machine Learning/194 - Ensemble - Ada Boost.en.srt 29.0 KB
6 - Machine Learning/201 - Clustering - kMeans Clustering.en.srt 28.8 KB
6 - Machine Learning/177 - Classification - Decision Tree (Visualizing).en.srt 28.4 KB
12 - RAG Assessment and Evaluation Metrics/436 - (PRACTICALS) Rag Evaluation by BERTScore, BARTScore.en.srt 28.4 KB
2 - Python for Data Science/9 - Variables & Keywords.en.srt 28.2 KB
8 - Deep Learning & Neural Networks/304 - Convolutional Neural Networks - Practicals.en.srt 28.0 KB
8 - Deep Learning & Neural Networks/312 - Pre-Trained Models.en.srt 27.8 KB
2 - Python for Data Science/10 - Datatypes Operators.en.srt 27.4 KB
6 - Machine Learning/221 - Hyper Parameter Optimization - Manual HPO (Practicals).en.srt 27.4 KB
6 - Machine Learning/192 - Ensemble - Bagging (Practicals #2).en.srt 27.3 KB
2 - Python for Data Science/20 - OOPs.en.srt 26.5 KB
5 - SQL for Data Science/136 - Windows Function.en.srt 26.5 KB
6 - Machine Learning/175 - Classification - Decision Tree (gini based).en.srt 26.4 KB
13 - Introduction to Agentic AI/437 - Download the Course Resources - Tool_Calling_(Agentic_AI).ipynb 26.3 KB
6 - Machine Learning/202 - Clustering - kMeans Clustering (Practicals).en.srt 26.0 KB
9 - Natural Language Processing/334 - NLP Basics - TF-IDF (Practicals).en.srt 25.8 KB
5 - SQL for Data Science/137 - SQL Python connectivity.en.srt 25.7 KB
2 - Python for Data Science/25 - Seaborn.en.srt 25.6 KB
6 - Machine Learning/198 - Ensemble - Xtreme Gradient Boosting (XGB).en.srt 25.5 KB
17 - Generative AI Projects/483 - Project 7 - Text-to-SQL Chatbot - Part 2.en.srt 25.5 KB
9 - Natural Language Processing/346 - Word Embeddings - Cosine Similarity.en.srt 25.3 KB
4 - Exploratory Data Analysis/111 - Feature Encoding (Practicals).en.srt 25.1 KB
6 - Machine Learning/144 - Pre-Requisites - Train-Test Split.en.srt 25.0 KB
2 - Python for Data Science/18 - File Handling.en.srt 24.9 KB
9 - Natural Language Processing/342 - Word Embeddings - Word2Vec CBOW.en.srt 24.8 KB
4 - Exploratory Data Analysis/113 - Data Exploration.en.srt 24.7 KB
2 - Python for Data Science/5 - Let's install Python together!!.en.srt 24.6 KB
2 - Python for Data Science/15 - Loops & Iterations.en.srt 24.4 KB
9 - Natural Language Processing/352 - Neural Networks - LSTMs Part 6 (inpute gate).en.srt 24.3 KB
6 - Machine Learning/183 - Classification - Logistic Regression.en.srt 24.1 KB
2 - Python for Data Science/14 - Dictionary.en.srt 24.0 KB
6 - Machine Learning/209 - Feature Engineering - Successive Feature Selection.en.srt 23.9 KB
12 - RAG Assessment and Evaluation Metrics/430 - Intrinsic Metrics (PPL Score).en.srt 23.8 KB
10 - Transformers & Generative AI/364 - Transformer Types.en.srt 23.8 KB
4 - Exploratory Data Analysis/112 - Case Study.en.srt 23.8 KB
10 - Transformers & Generative AI/391 - RAGs - What and Why.en.srt 23.7 KB
9 - Natural Language Processing/332 - NLP Basics - Bag of Words (Practicals).en.srt 23.5 KB
8 - Deep Learning & Neural Networks/306 - Convolutional Neural Networks - Project (X-Ray detection).en.srt 23.4 KB
10 - Transformers & Generative AI/394 - RAGs - Architecture Explanation.en.srt 23.2 KB
9 - Natural Language Processing/347 - Neural Networks - LSTMs Part 1.en.srt 23.0 KB
10 - Transformers & Generative AI/409 - Model Testing - Ollama.en.srt 22.9 KB
6 - Machine Learning/152 - Regression - Regression Metrics (Practicals).en.srt 22.7 KB
6 - Machine Learning/200 - Clustering - Introduction to Clustering.en.srt 22.5 KB
6 - Machine Learning/140 - Types of ML.en.srt 22.5 KB
13 - Introduction to Agentic AI/437 - Download the Course Resources - Agent.ipynb 22.3 KB
9 - Natural Language Processing/355 - Neural Networks - LSTMs Part 9 (Practicals #2).en.srt 22.3 KB
6 - Machine Learning/203 - Clustering - Hierarchical Clustering.en.srt 22.2 KB
10 - Transformers & Generative AI/387 - LLM Basics - Prompt Engineering.en.srt 22.2 KB
15 - ML - DL Deployment/459 - Model Building (Breast Cancer Prediction).en.srt 22.1 KB
5 - SQL for Data Science/123 - Constraints in SQL.en.srt 22.0 KB
17 - Generative AI Projects/485 - Project 7 - Text-to-SQL Chatbot - Part 4.en.srt 22.0 KB
5 - SQL for Data Science/125 - Table Basics - DQLs.en.srt 21.9 KB
10 - Transformers & Generative AI/408 - Getting Started - Ollama.en.srt 21.8 KB
9 - Natural Language Processing/344 - Word Embeddings - GloVe.en.srt 21.8 KB
6 - Machine Learning/222 - Hyper Parameter Optimization - RandomizedSearchCV (Practicals).en.srt 21.4 KB
10 - Transformers & Generative AI/392 - RAGs - Use Cases.en.srt 21.3 KB
11 - Generative AI (Advanced)/421 - LoRA (Phase I - Low Rank).en.srt 21.3 KB
9 - Natural Language Processing/348 - Neural Networks - LSTMs Part 2 (Architecture).en.srt 21.2 KB
8 - Deep Learning & Neural Networks/294 - Backpropagation & Forward Pass.en.srt 21.1 KB
8 - Deep Learning & Neural Networks/301 - Convolutional Neural Networks - Architecture Explained.en.srt 20.9 KB
6 - Machine Learning/165 - Classification - Log Loss.en.srt 20.8 KB
8 - Deep Learning & Neural Networks/317 - Project - Pneumonia Detection from X-Ray Images.en.srt 20.5 KB
6 - Machine Learning/189 - Ensemble - Bagging.en.srt 20.0 KB
10 - Transformers & Generative AI/415 - RAG Systems with xAI (Practicals) - LLM APIs - RAG+with+GrokAI.ipynb 20.0 KB
5 - SQL for Data Science/130 - String functions.en.srt 20.0 KB
6 - Machine Learning/181 - Classification - SVM Classifier Part 1.en.srt 19.9 KB
8 - Deep Learning & Neural Networks/297 - Artificial Neural Networks - Practicals.en.srt 19.9 KB
6 - Machine Learning/204 - Clustering - Hierarchical Clustering (Practicals).en.srt 19.9 KB
10 - Transformers & Generative AI/407 - Model Overview - Ollama.en.srt 19.8 KB
13 - Introduction to Agentic AI/437 - Download the Course Resources - Currency_Conversion_Tool.ipynb 19.7 KB
6 - Machine Learning/180 - Classification - Naive Bayes Classifier.en.srt 19.6 KB
13 - Introduction to Agentic AI/438 - Introduction.en.srt 19.6 KB
8 - Deep Learning & Neural Networks/302 - Convolutional Neural Networks - Image Augmentation.en.srt 19.0 KB
9 - Natural Language Processing/324 - NLP Basics - SCR.en.srt 18.7 KB
18 - Interview Prep (NEW SECTION)/491 - ML Interview #2.en.srt 18.7 KB
11 - Generative AI (Advanced)/420 - PEFT and Quantization.en.srt 18.7 KB
15 - ML - DL Deployment/458 - Flask Basic App.en.srt 18.5 KB
6 - Machine Learning/153 - Regression - Simple Linear Regression.en.srt 18.4 KB
7 - Time Series Analysis & Forecasting/277 - Project 2 - Stock Market Prediction Part 3.en.srt 18.4 KB
7 - Time Series Analysis & Forecasting/282 - Project 3 - Demand Forecasting Part 5.en.srt 18.3 KB
6 - Machine Learning/190 - Ensemble - Bagging vs Random Forest.en.srt 18.3 KB
4 - Exploratory Data Analysis/116 - Bivariate Analysis Part 1.en.srt 18.3 KB
13 - Introduction to Agentic AI/450 - Travel Planning Agent Part #1.en.srt 18.1 KB
5 - SQL for Data Science/133 - Nested Queries.en.srt 18.0 KB
18 - Interview Prep (NEW SECTION)/498 - ML Interview #9.en.srt 17.9 KB
6 - Machine Learning/206 - Feature Engineering - Introduction.en.srt 17.7 KB
7 - Time Series Analysis & Forecasting/279 - Project 3 - Demand Forecasting Part 2.en.srt 17.7 KB
3 - Business Statistics/73 - Correlation.en.srt 17.6 KB
17 - Generative AI Projects/478 - Project 5 - AI Career Coach - Part 1.en.srt 17.5 KB
10 - Transformers & Generative AI/378 - AlBERT.en.srt 17.3 KB
6 - Machine Learning/166 - Classification - Confusion Matrix.en.srt 17.3 KB
4 - Exploratory Data Analysis/115 - Univariate Analysis.en.srt 17.3 KB
7 - Time Series Analysis & Forecasting/266 - Models - Facebook Prophet (Uni vs Multi).en.srt 17.2 KB
10 - Transformers & Generative AI/406 - LSH.en.srt 17.2 KB
6 - Machine Learning/156 - Regression - Multiple Linear Regression (Practicals).en.srt 16.9 KB
8 - Deep Learning & Neural Networks/300 - Convolutional Neural Networks - Steps in CNN.en.srt 16.9 KB
2 - Python for Data Science/13 - Sets.en.srt 16.8 KB
5 - SQL for Data Science/131 - Date Time Functions.en.srt 16.8 KB
10 - Transformers & Generative AI/395 - RAGs - Detailed Architecture Walkthrough.en.srt 16.7 KB
7 - Time Series Analysis & Forecasting/253 - Models - ARIMA (Practicals Part 1).en.srt 16.7 KB
6 - Machine Learning/182 - Classification - SVM Classifier Part 2.en.srt 16.6 KB
6 - Machine Learning/160 - Regression - Ridge Regression.en.srt 16.6 KB
4 - Exploratory Data Analysis/96 - Feature Scaling (Practicals).en.srt 16.6 KB
7 - Time Series Analysis & Forecasting/243 - Feature Scaling (Practicals).en.srt 16.6 KB
10 - Transformers & Generative AI/377 - DistilBERT.en.srt 16.6 KB
6 - Machine Learning/171 - Classification - Practicals Part 1.en.srt 16.4 KB
13 - Introduction to Agentic AI/447 - LangChain Tool Calling Part #2.en.srt 16.4 KB
8 - Deep Learning & Neural Networks/298 - Artificial Neural Networks - Hyper Parameter Optimization.en.srt 16.4 KB
8 - Deep Learning & Neural Networks/290 - Activation Function - Linear Function.en.srt 16.3 KB
5 - SQL for Data Science/134 - Views.en.srt 16.3 KB
18 - Interview Prep (NEW SECTION)/500 - DL Interview #1.en.srt 16.3 KB
10 - Transformers & Generative AI/389 - LLM Basics - Prompt Structures.en.srt 16.2 KB
18 - Interview Prep (NEW SECTION)/519 - Gen AI Interview #10.en.srt 16.2 KB
9 - Natural Language Processing/335 - NLP Basics - Part of Speech Tagging and Named Entity Recognition.en.srt 16.2 KB
9 - Natural Language Processing/345 - Word Embeddings - FastText.en.srt 16.1 KB
12 - RAG Assessment and Evaluation Metrics/427 - N-Gram Metrics (BLEU).en.srt 16.1 KB
18 - Interview Prep (NEW SECTION)/502 - DL Interview #3.en.srt 16.1 KB
10 - Transformers & Generative AI/399 - Types of Prompting.en.srt 16.1 KB
8 - Deep Learning & Neural Networks/309 - Recurrent Neural Networks - Vanishing Gradient & Exploding Gradient Problem.en.srt 16.1 KB
4 - Exploratory Data Analysis/98 - Outlier Treatment (Practicals).en.srt 16.0 KB
7 - Time Series Analysis & Forecasting/239 - 3-Sigma Technique.en.srt 16.0 KB
9 - Natural Language Processing/351 - Neural Networks - LSTMs Part 5 (forget gate).en.srt 16.0 KB
10 - Transformers & Generative AI/370 - Introduction to BERT.en.srt 15.9 KB
13 - Introduction to Agentic AI/442 - Custom Tools using Tool Decorator.en.srt 15.8 KB
6 - Machine Learning/174 - Classification - Decision Tree (Entropy based).en.srt 15.8 KB
6 - Machine Learning/148 - Pre-Requisites - Feature Encoding.en.srt 15.8 KB
4 - Exploratory Data Analysis/110 - Feature Encoding (Theory).en.srt 15.8 KB
7 - Time Series Analysis & Forecasting/244 - Feature Encoding.en.srt 15.8 KB
18 - Interview Prep (NEW SECTION)/490 - ML Interview #1.en.srt 15.7 KB
17 - Generative AI Projects/486 - Project 7 - Text-to-SQL Chatbot - Part 5.en.srt 15.7 KB
12 - RAG Assessment and Evaluation Metrics/435 - (PRACTICALS) Rag Evaluation by BLEU, ROUGE.en.srt 15.7 KB
10 - Transformers & Generative AI/402 - Vector Databases.en.srt 15.6 KB
12 - RAG Assessment and Evaluation Metrics/432 - Model-based Metrics (BARTScore vs BERTScore).en.srt 15.6 KB
17 - Generative AI Projects/479 - Project 5 - AI Career Coach - Part 2.en.srt 15.6 KB
7 - Time Series Analysis & Forecasting/251 - Models - ACF - PACF Plots.en.srt 15.5 KB
15 - ML - DL Deployment/457 - Introduction to Flask.en.srt 15.5 KB
6 - Machine Learning/172 - Classification - kNN Classifier (Practicals).en.srt 15.5 KB
7 - Time Series Analysis & Forecasting/254 - Models - ARIMA (Practicals Part 2).en.srt 15.4 KB
10 - Transformers & Generative AI/411 - RAG Systems - Ollama.en.srt 15.3 KB
9 - Natural Language Processing/333 - NLP Basics - TF-IDF.en.srt 15.3 KB
10 - Transformers & Generative AI/415 - RAG Systems with xAI (Practicals) - LLM APIs.en.srt 15.3 KB
18 - Interview Prep (NEW SECTION)/512 - Gen AI Interview #3.en.srt 15.2 KB
9 - Natural Language Processing/361 - Neural Networks - GRU Part 5 (Practicals).en.srt 15.0 KB
9 - Natural Language Processing/356 - Neural Networks - LSTMs Part 10 (Practicals #3).en.srt 15.0 KB
6 - Machine Learning/143 - Pre-Requisites - Features.en.srt 14.9 KB
13 - Introduction to Agentic AI/441 - LangChain (Built-in tools).en.srt 14.8 KB
5 - SQL for Data Science/129 - Aggregation Functions.en.srt 14.7 KB
6 - Machine Learning/193 - Ensemble - Boosting.en.srt 14.6 KB
10 - Transformers & Generative AI/381 - GPT Masked Multi Head Attention.en.srt 14.6 KB
17 - Generative AI Projects/484 - Project 7 - Text-to-SQL Chatbot - Part 3.en.srt 14.5 KB
4 - Exploratory Data Analysis/92 - Handle Missing Values (Practicals).en.srt 14.5 KB
7 - Time Series Analysis & Forecasting/237 - Handle Missing Value (Practicals).en.srt 14.5 KB
9 - Natural Language Processing/336 - NLP Basics - NER (Practicals).en.srt 14.4 KB
3 - Business Statistics/62 - Binomial Distribution.en.srt 14.4 KB
18 - Interview Prep (NEW SECTION)/495 - ML Interview #6.en.srt 14.3 KB
8 - Deep Learning & Neural Networks/293 - Activation Function - ReLu Function.en.srt 14.1 KB
11 - Generative AI (Advanced)/419 - Fine Tuning.en.srt 14.1 KB
9 - Natural Language Processing/343 - Word Embeddings - Word2Vec Skip Grams.en.srt 14.1 KB
8 - Deep Learning & Neural Networks/311 - Recurrent Neural Networks - LSTMs (Practicals).en.srt 14.1 KB
10 - Transformers & Generative AI/386 - LLM Basics - Prompt.en.srt 14.0 KB
10 - Transformers & Generative AI/404 - How Vector Databases works.en.srt 13.9 KB
11 - Generative AI (Advanced)/416 - Introduction to Fine Tuning.en.srt 13.9 KB
7 - Time Series Analysis & Forecasting/261 - Models - Final Model Building.en.srt 13.9 KB
6 - Machine Learning/186 - Classification - Issues in Classification (Part 2).en.srt 13.9 KB
10 - Transformers & Generative AI/385 - LLM Basics - Context Window.en.srt 13.9 KB
18 - Interview Prep (NEW SECTION)/493 - ML Interview #4.en.srt 13.9 KB
6 - Machine Learning/220 - Hyper Parameter Optimization - GridSearch vs RandomizedSearch.en.srt 13.8 KB
3 - Business Statistics/72 - Covariance.en.srt 13.8 KB
6 - Machine Learning/213 - Feature Engineering - Principal Component Analysis (Practicals).en.srt 13.8 KB
12 - RAG Assessment and Evaluation Metrics/431 - Intrinsic Metrics (PPL Score) Practicals.en.srt 13.8 KB
13 - Introduction to Agentic AI/451 - Travel Planning Agent Part #2.en.srt 13.7 KB
7 - Time Series Analysis & Forecasting/225 - Time Series vs Regression.en.srt 13.7 KB
18 - Interview Prep (NEW SECTION)/497 - ML Interview #8.en.srt 13.7 KB
18 - Interview Prep (NEW SECTION)/518 - Gen AI Interview #9.en.srt 13.7 KB
7 - Time Series Analysis & Forecasting/263 - Models - Facebook Prophet (Part 2).en.srt 13.7 KB
18 - Interview Prep (NEW SECTION)/492 - ML Interview #3.en.srt 13.6 KB
13 - Introduction to Agentic AI/445 - LangChain Toolkits.en.srt 13.6 KB
10 - Transformers & Generative AI/397 - LangChain.en.srt 13.5 KB
6 - Machine Learning/169 - Classification - kNN Classifier.en.srt 13.5 KB
18 - Interview Prep (NEW SECTION)/505 - DL Interview #6.en.srt 13.5 KB
11 - Generative AI (Advanced)/422 - LoRA (Phase II - Adapters).en.srt 13.4 KB
2 - Python for Data Science/19 - Control Structures.en.srt 13.4 KB
6 - Machine Learning/170 - Classification - kNN Classifier Example.en.srt 13.4 KB
18 - Interview Prep (NEW SECTION)/506 - DL Interview #7.en.srt 13.3 KB
6 - Machine Learning/214 - Feature Engineering - Linear Discriminant Analysis.en.srt 13.3 KB
18 - Interview Prep (NEW SECTION)/517 - Gen AI Interview #8.en.srt 13.3 KB
6 - Machine Learning/205 - Clustering - Mean Shift Clustering.en.srt 13.2 KB
6 - Machine Learning/154 - Regression - Multiple Linear Regression.en.srt 13.2 KB
10 - Transformers & Generative AI/398 - Introduction to Prompt Engineering.en.srt 13.2 KB
5 - SQL for Data Science/122 - Introduction to SQL.en.srt 13.1 KB
11 - Generative AI (Advanced)/423 - LoRA (Phase III - Low Rank + Adapters).en.srt 13.0 KB
15 - ML - DL Deployment/461 - AWS.en.srt 13.0 KB
7 - Time Series Analysis & Forecasting/280 - Project 3 - Demand Forecasting Part 3.en.srt 13.0 KB
7 - Time Series Analysis & Forecasting/258 - Models - Best Transformation.en.srt 12.9 KB
6 - Machine Learning/149 - Pre-Requisites - Feature Encoding (Practicals).en.srt 12.9 KB
6 - Machine Learning/196 - Ensemble - CF vs LF.en.srt 12.9 KB
7 - Time Series Analysis & Forecasting/245 - Feature Encoding (Practicals).en.srt 12.9 KB
11 - Generative AI (Advanced)/418 - When to use RAGs vs When to use Fine-Tuned models.en.srt 12.9 KB
18 - Interview Prep (NEW SECTION)/499 - ML Interview #10.en.srt 12.9 KB
13 - Introduction to Agentic AI/448 - Tool Execution.en.srt 12.9 KB
6 - Machine Learning/218 - Hyper Parameter Optimization - Basics.en.srt 12.8 KB
17 - Generative AI Projects/487 - Project 7 - Text-to-SQL Chatbot - Part 6.en.srt 12.8 KB
7 - Time Series Analysis & Forecasting/255 - Models - ARIMA (Final).en.srt 12.7 KB
9 - Natural Language Processing/331 - NLP Basics - Bag of Words.en.srt 12.7 KB
17 - Generative AI Projects/482 - Project 7 - Text-to-SQL Chatbot - Part 1.en.srt 12.6 KB
4 - Exploratory Data Analysis/93 - Feature Scaling (Theory).en.srt 12.6 KB
6 - Machine Learning/145 - Pre-Requisites - Feature Scaling.en.srt 12.6 KB
7 - Time Series Analysis & Forecasting/240 - Feature Scaling.en.srt 12.6 KB
18 - Interview Prep (NEW SECTION)/507 - DL Interview #8.en.srt 12.5 KB
8 - Deep Learning & Neural Networks/303 - Convolutional Neural Networks - Batch size vs iterations vs epochs.en.srt 12.4 KB
4 - Exploratory Data Analysis/109 - Feature Binning (Practicals).en.srt 12.4 KB
9 - Natural Language Processing/341 - Word Embeddings - Word2Vec - Check X Features.en.srt 12.4 KB
6 - Machine Learning/157 - Regression - Polynomial Regression.en.srt 12.4 KB
6 - Machine Learning/167 - Classification - AUC ROC Curve.en.srt 12.3 KB
6 - Machine Learning/215 - Feature Engineering - Linear Discriminant Analysis (Practicals).en.srt 12.2 KB
18 - Interview Prep (NEW SECTION)/509 - DL Interview #10.en.srt 12.2 KB
9 - Natural Language Processing/325 - NLP Basics - Handling Contractions.en.srt 12.0 KB
4 - Exploratory Data Analysis/114 - Data Cleaning.en.srt 12.0 KB
18 - Interview Prep (NEW SECTION)/514 - Gen AI Interview #5.en.srt 11.9 KB
18 - Interview Prep (NEW SECTION)/515 - Gen AI Interview #6.en.srt 11.9 KB
10 - Transformers & Generative AI/367 - Encoder Architecture.en.srt 11.9 KB
8 - Deep Learning & Neural Networks/314 - Pre-Trained Models - VGG16.en.srt 11.9 KB
10 - Transformers & Generative AI/383 - GPT Training.en.srt 11.8 KB
7 - Time Series Analysis & Forecasting/259 - Models - Grid Search (Part 1).en.srt 11.7 KB
10 - Transformers & Generative AI/376 - RoBERTa.en.srt 11.6 KB
3 - Business Statistics/80 - Z Test.en.srt 11.6 KB
7 - Time Series Analysis & Forecasting/228 - Components of Time Series.en.srt 11.5 KB
9 - Natural Language Processing/353 - Neural Networks - LSTMs Part 7 (output gate).en.srt 11.4 KB
7 - Time Series Analysis & Forecasting/283 - Project 3 - Demand Forecasting Part 6.en.srt 11.4 KB
4 - Exploratory Data Analysis/97 - Outlier Treatment (Theory).en.srt 11.4 KB
7 - Time Series Analysis & Forecasting/238 - Outlier Treatment.en.srt 11.4 KB
6 - Machine Learning/185 - Classification - Issues in Classification (Part 1).en.srt 11.3 KB
6 - Machine Learning/159 - Regression - Bias Variance Tradeoff.en.srt 11.2 KB
3 - Business Statistics/64 - Normal Distribution Part 1.en.srt 11.2 KB
6 - Machine Learning/161 - Regression - Lasso Regression.en.srt 11.2 KB
10 - Transformers & Generative AI/374 - BERT - Input Embeddings.en.srt 11.1 KB
18 - Interview Prep (NEW SECTION)/504 - DL Interview #5.en.srt 11.1 KB
9 - Natural Language Processing/340 - Word Embeddings - Word2Vec Intuition.en.srt 11.1 KB
8 - Deep Learning & Neural Networks/287 - What is a Neuron.en.srt 11.0 KB
6 - Machine Learning/223 - Hyper Parameter Optimization - GridSearchCV (Practicals).en.srt 11.0 KB
9 - Natural Language Processing/321 - Intro to NLP - Key Challenges.en.srt 10.8 KB
4 - Exploratory Data Analysis/117 - Bivariate Analysis Part 2.en.srt 10.8 KB
6 - Machine Learning/173 - Classification - Decision Tree.en.srt 10.8 KB
3 - Business Statistics/31 - Qualitative Data.en.srt 10.7 KB
5 - SQL for Data Science/132 - Regular Expressions.en.srt 10.7 KB
7 - Time Series Analysis & Forecasting/250 - Models - MA Theory.en.srt 10.7 KB
11 - Generative AI (Advanced)/424 - qLoRA (Quanitzed Low Rank Adapters).en.srt 10.7 KB
9 - Natural Language Processing/360 - Neural Networks - GRU Part 4 (update gate).en.srt 10.6 KB
18 - Interview Prep (NEW SECTION)/496 - ML Interview #7.en.srt 10.6 KB
7 - Time Series Analysis & Forecasting/232 - Stationarity.en.srt 10.5 KB
3 - Business Statistics/81 - Chi Square Test.en.srt 10.5 KB
7 - Time Series Analysis & Forecasting/231 - Additive - Multiplicative Decomposition.en.srt 10.5 KB
9 - Natural Language Processing/328 - NLP Basics - nGrams.en.srt 10.4 KB
18 - Interview Prep (NEW SECTION)/513 - Gen AI Interview #4.en.srt 10.4 KB
4 - Exploratory Data Analysis/102 - Univariate Analysis.en.srt 10.3 KB
3 - Business Statistics/50 - Variance Standard Deviation.en.srt 10.3 KB
6 - Machine Learning/168 - Classification - Classification Report.en.srt 10.2 KB
7 - Time Series Analysis & Forecasting/249 - Models - AR Theory.en.srt 10.1 KB
13 - Introduction to Agentic AI/453 - AI Agent Code Explanation and Theory Part #1.en.srt 10.1 KB
3 - Business Statistics/78 - Types of Test.en.srt 10.1 KB
8 - Deep Learning & Neural Networks/295 - Gradient Descent.en.srt 10.1 KB
3 - Business Statistics/38 - Probability Sampling.en.srt 10.1 KB
10 - Transformers & Generative AI/373 - BERT - Pre Tuning (Masked LM).en.srt 10.1 KB
6 - Machine Learning/176 - Classification - Decision Tree (Practicals).en.srt 10.0 KB
5 - SQL for Data Science/121 - Data Architecture - File server vs client server.en.srt 10.0 KB
8 - Deep Learning & Neural Networks/299 - Convolutional Neural Networks - What is CNN.en.srt 10.0 KB
3 - Business Statistics/82 - ANOVA.en.srt 10.0 KB
10 - Transformers & Generative AI/412 - RAG Systems (Practicals) - Ollama - RAG+with+Ollama.ipynb 10.0 KB
18 - Interview Prep (NEW SECTION)/503 - DL Interview #4.en.srt 10.0 KB
7 - Time Series Analysis & Forecasting/274 - Project 1 - Energy Forecasting Part 3.en.srt 10.0 KB
10 - Transformers & Generative AI/382 - GPT Blocks.en.srt 10.0 KB
8 - Deep Learning & Neural Networks/305 - Convolutional Neural Networks - Model Summary & Parameters.en.srt 9.9 KB
7 - Time Series Analysis & Forecasting/262 - Models - Facebook Prophet (Part 1).en.srt 9.9 KB
15 - ML - DL Deployment/456 - Deployment Basics.en.srt 9.9 KB
18 - Interview Prep (NEW SECTION)/501 - DL Interview #2.en.srt 9.9 KB
12 - RAG Assessment and Evaluation Metrics/426 - Introduction to RAG Evaluation.en.srt 9.9 KB
9 - Natural Language Processing/322 - Intro to NLP - Linguistics.en.srt 9.8 KB
9 - Natural Language Processing/359 - Neural Networks - GRU Part 3 (reset gate).en.srt 9.8 KB
9 - Natural Language Processing/339 - Word Embeddings - Pre-Trained Word2Vec.en.srt 9.7 KB
3 - Business Statistics/68 - Calculating Probability with Z-score for Normal Distribution Part 1.en.srt 9.7 KB
8 - Deep Learning & Neural Networks/316 - Transfer Learning.en.srt 9.7 KB
18 - Interview Prep (NEW SECTION)/516 - Gen AI Interview #7.en.srt 9.6 KB
18 - Interview Prep (NEW SECTION)/494 - ML Interview #5.en.srt 9.4 KB
10 - Transformers & Generative AI/403 - Vector Database vs Vector Index.en.srt 9.4 KB
3 - Business Statistics/29 - Descriptive Stats.en.srt 9.3 KB
3 - Business Statistics/57 - Conditional Probability.en.srt 9.3 KB
3 - Business Statistics/65 - Normal Distribution Part 2.en.srt 9.2 KB
18 - Interview Prep (NEW SECTION)/511 - Gen AI Interview #2.en.srt 9.2 KB
3 - Business Statistics/40 - Population Sampling.en.srt 9.2 KB
3 - Business Statistics/54 - Addition Rule.en.srt 9.2 KB
16 - Data Engineering Basics/464 - What is ETL.en.srt 9.1 KB
8 - Deep Learning & Neural Networks/291 - Activation Function - Sigmoid Function.en.srt 9.1 KB
9 - Natural Language Processing/327 - NLP Basics - Stop Word Removal.en.srt 9.1 KB
13 - Introduction to Agentic AI/439 - Agentic AI - Examples.en.srt 9.0 KB
6 - Machine Learning/195 - Ensemble - Gradient Boost.en.srt 9.0 KB
10 - Transformers & Generative AI/410 - Python Implementation - Ollama.en.srt 9.0 KB
6 - Machine Learning/164 - Classification - Types of Classification.en.srt 8.9 KB
8 - Deep Learning & Neural Networks/289 - Activation Function - Step Function.en.srt 8.9 KB
7 - Time Series Analysis & Forecasting/273 - Project 1 - Energy Forecasting Part 2.en.srt 8.9 KB
4 - Exploratory Data Analysis/108 - Feature Binning (Theory).en.srt 8.8 KB
3 - Business Statistics/79 - T Test.en.srt 8.8 KB
6 - Machine Learning/207 - Feature Engineering - RFE and SFS.en.srt 8.7 KB
10 - Transformers & Generative AI/388 - LLM Basics - Prompt Tuning.en.srt 8.7 KB
3 - Business Statistics/61 - Uniform Distribution.en.srt 8.7 KB
3 - Business Statistics/45 - Median.en.srt 8.7 KB
7 - Time Series Analysis & Forecasting/248 - Models - ARIMA Part 2.en.srt 8.6 KB
9 - Natural Language Processing/319 - Intro to NLP - Introduction.en.srt 8.6 KB
10 - Transformers & Generative AI/401 - Chain of Thoughts Prompting.en.srt 8.6 KB
7 - Time Series Analysis & Forecasting/233 - Testing TS Stationarity.en.srt 8.5 KB
3 - Business Statistics/83 - Correlation Test (Practicals).en.srt 8.5 KB
13 - Introduction to Agentic AI/440 - What are Tools.en.srt 8.4 KB
4 - Exploratory Data Analysis/85 - DA,DS Processes.en.srt 8.4 KB
10 - Transformers & Generative AI/400 - Few Shot Limitations.en.srt 8.4 KB
6 - Machine Learning/197 - Ensemble - Cross Entropy.en.srt 8.4 KB
10 - Transformers & Generative AI/375 - ARLM vs AELM.en.srt 8.4 KB
6 - Machine Learning/178 - Classification - Random Forest Classifier.en.srt 8.4 KB
4 - Exploratory Data Analysis/91 - Handle Missing Values (Theory).en.srt 8.3 KB
7 - Time Series Analysis & Forecasting/236 - Handle Missing Value.en.srt 8.3 KB
7 - Time Series Analysis & Forecasting/265 - Models - Multi Variate Time Series Analysis.en.srt 8.3 KB
3 - Business Statistics/75 - Hypothesis Testing.en.srt 8.3 KB
7 - Time Series Analysis & Forecasting/234 - Transformation.en.srt 8.3 KB
6 - Machine Learning/219 - Hyper Parameter Optimization - Manual HPO.en.srt 8.2 KB
6 - Machine Learning/210 - Feature Engineering - Chi-Square.en.srt 8.2 KB
7 - Time Series Analysis & Forecasting/230 - Decomposition (Practicals).en.srt 8.1 KB
3 - Business Statistics/53 - Probability.en.srt 8.1 KB
6 - Machine Learning/216 - Feature Engineering - kPCA & QDA.en.srt 8.1 KB
16 - Data Engineering Basics/469 - Why do we need Staging.en.srt 7.9 KB
12 - RAG Assessment and Evaluation Metrics/428 - N-Gram Metrics (ROUGE).en.srt 7.9 KB
8 - Deep Learning & Neural Networks/307 - Recurrent Neural Networks - Basics.en.srt 7.9 KB
13 - Introduction to Agentic AI/452 - Travel Planning Agent Part #3.en.srt 7.9 KB
2 - Python for Data Science/23 - Data Visualization.en.srt 7.9 KB
8 - Deep Learning & Neural Networks/286 - Understanding Deep Learning.en.srt 7.9 KB
9 - Natural Language Processing/326 - NLP Basics - Tokenization.en.srt 7.8 KB
17 - Generative AI Projects/488 - Project 7 - Text-to-SQL Chatbot - Part 7.en.srt 7.7 KB
10 - Transformers & Generative AI/393 - RAGs - Paper Explanation.en.srt 7.7 KB
13 - Introduction to Agentic AI/454 - AI Agent Code Explanation and Theory Part #2.en.srt 7.7 KB
9 - Natural Language Processing/337 - Word Embeddings - Word2Vec Introduction.en.srt 7.6 KB
9 - Natural Language Processing/350 - Neural Networks - LSTMs Part 4 (Pointwise Operations).en.srt 7.6 KB
11 - Generative AI (Advanced)/417 - RAGs vs Fine-Tuning.en.srt 7.4 KB
9 - Natural Language Processing/320 - Intro to NLP - Introduction continued.en.srt 7.4 KB
7 - Time Series Analysis & Forecasting/264 - Models - Facebook Prophet (Part 3).en.srt 7.4 KB
6 - Machine Learning/211 - Feature Engineering - Chi-Square (Practicals).en.srt 7.3 KB
9 - Natural Language Processing/349 - Neural Networks - LSTMs Part 3 (Deep Dive).en.srt 7.3 KB
7 - Time Series Analysis & Forecasting/267 - Introduction to Metrics.en.srt 7.2 KB
4 - Exploratory Data Analysis/118 - EDA Report.en.srt 7.2 KB
18 - Interview Prep (NEW SECTION)/510 - Gen AI Interview #1.en.srt 7.1 KB
10 - Transformers & Generative AI/369 - Decoder Architecture.en.srt 7.1 KB
8 - Deep Learning & Neural Networks/315 - Pre-Trained Models - MobileNet.en.srt 7.1 KB
6 - Machine Learning/217 - Feature Engineering - kPCA & QDA (Practicals).en.srt 7.1 KB
8 - Deep Learning & Neural Networks/288 - Activation Functions.en.srt 7.0 KB
8 - Deep Learning & Neural Networks/310 - Recurrent Neural Networks - LSTMs.en.srt 6.9 KB
6 - Machine Learning/163 - Classification - Introduction to Classification.en.srt 6.9 KB
6 - Machine Learning/150 - Regression - Introduction to Regression Models.en.srt 6.9 KB
10 - Transformers & Generative AI/379 - Introduction to GPT (Decoder Only).en.srt 6.9 KB
2 - Python for Data Science/7 - Let's leverage chatGPT for help!!.en.srt 6.8 KB
10 - Transformers & Generative AI/368 - Contextual Embeddings.en.srt 6.8 KB
10 - Transformers & Generative AI/380 - GPT Architecture.en.srt 6.8 KB
3 - Business Statistics/37 - Cluster Random Sampling.en.srt 6.6 KB
3 - Business Statistics/27 - Introduction.en.srt 6.6 KB
2 - Python for Data Science/8 - Introduction to Python.en.srt 6.6 KB
10 - Transformers & Generative AI/414 - RAG Systems with xAI - LLM APIs.en.srt 6.5 KB
3 - Business Statistics/44 - Mean.en.srt 6.5 KB
12 - RAG Assessment and Evaluation Metrics/431 - Intrinsic Metrics (PPL Score) Practicals - RAG_Metrics_PPL_Score.ipynb 6.5 KB
9 - Natural Language Processing/329 - NLP Basics - Vectorization.en.srt 6.5 KB
4 - Exploratory Data Analysis/99 - Invalid Data.en.srt 6.4 KB
3 - Business Statistics/39 - Non probability sampling.en.srt 6.4 KB
6 - Machine Learning/139 - Introduction to ML.en.srt 6.4 KB
4 - Exploratory Data Analysis/103 - Bivariate Analysis.en.srt 6.3 KB
16 - Data Engineering Basics/465 - ETL Tools.en.srt 6.3 KB
3 - Business Statistics/66 - Skewness.en.srt 6.1 KB
3 - Business Statistics/41 - Why n-1 and not n.en.srt 6.1 KB
7 - Time Series Analysis & Forecasting/275 - Project 2 - Stock Market Prediction Part 1.en.srt 6.1 KB
8 - Deep Learning & Neural Networks/296 - Artificial Neural Networks - Intuition.en.srt 6.1 KB
3 - Business Statistics/46 - Mode.en.srt 6.0 KB
8 - Deep Learning & Neural Networks/308 - Recurrent Neural Networks - Types of RNN.en.srt 5.9 KB
6 - Machine Learning/179 - Classification - Random Forest Classifier (Practicals).en.srt 5.9 KB
7 - Time Series Analysis & Forecasting/271 - Mean Absolute Percentage Error.en.srt 5.9 KB
9 - Natural Language Processing/323 - NLP Basics - Case Folding.en.srt 5.9 KB
3 - Business Statistics/49 - IQR.en.srt 5.9 KB
7 - Time Series Analysis & Forecasting/227 - Anomaly Detection.en.srt 5.9 KB
13 - Introduction to Agentic AI/444 - Custom Tools using BaseTool.en.srt 5.9 KB
4 - Exploratory Data Analysis/87 - Visualization.en.srt 5.7 KB
4 - Exploratory Data Analysis/89 - Steps involved in EDA (Data Sourcing).en.srt 5.7 KB
7 - Time Series Analysis & Forecasting/224 - Introduction to TSA.en.srt 5.6 KB
4 - Exploratory Data Analysis/107 - Derived Metrics.en.srt 5.6 KB
18 - Interview Prep (NEW SECTION)/508 - DL Interview #9.en.srt 5.5 KB
3 - Business Statistics/56 - Cumulative Probability.en.srt 5.4 KB
3 - Business Statistics/51 - Mean Deviation.en.srt 5.4 KB
9 - Natural Language Processing/357 - Neural Networks - GRU Part 1.en.srt 5.3 KB
3 - Business Statistics/47 - Measures of Dispersion.en.srt 5.3 KB
3 - Business Statistics/55 - Independent Events.en.srt 5.3 KB
2 - Python for Data Science/6 - Google Colab, what's that.en.srt 5.2 KB
4 - Exploratory Data Analysis/90 - Steps involved in EDA (Data Cleaning).en.srt 5.2 KB
7 - Time Series Analysis & Forecasting/276 - Project 2 - Stock Market Prediction Part 2.en.srt 5.0 KB
10 - Transformers & Generative AI/372 - BERT - Fine Tuning.en.srt 5.0 KB
3 - Business Statistics/32 - Quantitative Data.en.srt 5.0 KB
13 - Introduction to Agentic AI/443 - Custom Tools using StructuredTool.en.srt 4.9 KB
4 - Exploratory Data Analysis/105 - Numerical Analysis.en.srt 4.9 KB
4 - Exploratory Data Analysis/94 - Standardization Example.en.srt 4.9 KB
6 - Machine Learning/146 - Pre-Requisites - Standardization Example.en.srt 4.9 KB
7 - Time Series Analysis & Forecasting/241 - Feature Scaling - Standardization.en.srt 4.9 KB
3 - Business Statistics/77 - p-value.en.srt 4.8 KB
7 - Time Series Analysis & Forecasting/278 - Project 3 - Demand Forecasting Part 1.en.srt 4.7 KB
3 - Business Statistics/74 - Covariance VS Correlation.en.srt 4.7 KB
7 - Time Series Analysis & Forecasting/235 - Introduction to Pre-Processing.en.srt 4.7 KB
7 - Time Series Analysis & Forecasting/257 - Models - ACF - PACF.en.srt 4.7 KB
5 - SQL for Data Science/120 - Installation.en.srt 4.7 KB
8 - Deep Learning & Neural Networks/292 - Activation Function - TanH Function.en.srt 4.7 KB
10 - Transformers & Generative AI/371 - Configurations of BERT.en.srt 4.6 KB
3 - Business Statistics/59 - Bayes Theorem 2.en.srt 4.6 KB
3 - Business Statistics/69 - Calculating Probability with Z-score for Normal Distribution Part 2.en.srt 4.6 KB
3 - Business Statistics/36 - Types of Sampling.en.srt 4.6 KB
7 - Time Series Analysis & Forecasting/256 - Models - Decomposition.en.srt 4.5 KB
3 - Business Statistics/34 - Population vs Sample.en.srt 4.4 KB
7 - Time Series Analysis & Forecasting/252 - Models - Find p,d,q in ARIMA.en.srt 4.3 KB
12 - RAG Assessment and Evaluation Metrics/429 - N-Gram Metrics (METEOR).en.srt 4.3 KB
3 - Business Statistics/63 - Poisson Distribution.en.srt 4.3 KB
3 - Business Statistics/35 - Why Sampling is important.en.srt 4.3 KB
16 - Data Engineering Basics/472 - Data lake vs Data Warehouse.en.srt 4.3 KB
7 - Time Series Analysis & Forecasting/272 - Project 1 - Energy Forecasting Part 1.en.srt 4.1 KB
7 - Time Series Analysis & Forecasting/247 - Models - ARIMA Part 1.en.srt 4.1 KB
1 - Introduction/2 - Introduction to the Course.html 4.1 KB
9 - Natural Language Processing/338 - Word Embeddings - Word2Vec Part 2.en.srt 4.1 KB
3 - Business Statistics/70 - Calculating Probability with Z-score for Normal Distribution Part 3.en.srt 3.9 KB
4 - Exploratory Data Analysis/100 - Types of Data.en.srt 3.9 KB
8 - Deep Learning & Neural Networks/285 - Introduction to Deep Learning.en.srt 3.8 KB
10 - Transformers & Generative AI/384 - LLM Basics - Tokens.html 3.8 KB
16 - Data Engineering Basics/468 - Data Warehouse Structure.en.srt 3.6 KB
16 - Data Engineering Basics/466 - What is Data Warehouse.en.srt 3.5 KB
4 - Exploratory Data Analysis/86 - What is EDA.en.srt 3.4 KB
10 - Transformers & Generative AI/363 - Course Contents.html 3.4 KB
7 - Time Series Analysis & Forecasting/268 - Forecasting Evaluation Metrics.en.srt 3.3 KB
3 - Business Statistics/67 - Kurtosis.en.srt 3.3 KB
9 - Natural Language Processing/330 - NLP Basics - Word Embeddings.en.srt 3.3 KB
18 - Interview Prep (NEW SECTION)/489 - ML Interview Prep.en.srt 3.2 KB
3 - Business Statistics/76 - Tailed Tests.en.srt 3.2 KB
1 - Introduction/1 - Welcome Page.en.srt 3.2 KB
13 - Introduction to Agentic AI/446 - LangChain Tool Calling Part #1.en.srt 3.2 KB
16 - Data Engineering Basics/470 - What are Data Marts.en.srt 3.1 KB
7 - Time Series Analysis & Forecasting/269 - Mean Squarred Error.en.srt 3.1 KB
4 - Exploratory Data Analysis/95 - Normalization Example.en.srt 3.1 KB
6 - Machine Learning/147 - Pre-Requisites - Normalization Example.en.srt 3.1 KB
7 - Time Series Analysis & Forecasting/242 - Feature Scaling - Normalization.en.srt 3.1 KB
3 - Business Statistics/30 - Inferential Stats.en.srt 3.1 KB
4 - Exploratory Data Analysis/88 - Agenda.en.srt 3.1 KB
7 - Time Series Analysis & Forecasting/226 - Time Series Analysis.en.srt 3.0 KB
3 - Business Statistics/43 - Measures of Central Tendency.en.srt 3.0 KB
6 - Machine Learning/138 - Agenda.en.srt 3.0 KB
16 - Data Engineering Basics/471 - Data Lake.en.srt 2.9 KB
6 - Machine Learning/141 - Use Cases Part 1.en.srt 2.9 KB
4 - Exploratory Data Analysis/101 - Types of Analysis.en.srt 2.9 KB
7 - Time Series Analysis & Forecasting/260 - Models - Grid Search (Part 2).en.srt 2.6 KB
3 - Business Statistics/60 - Probability Distrubution (Agenda).en.srt 2.6 KB
12 - RAG Assessment and Evaluation Metrics/425 - Introduction.html 2.5 KB
7 - Time Series Analysis & Forecasting/270 - Root Mean Squarred Error.en.srt 2.5 KB
3 - Business Statistics/48 - Range.en.srt 2.3 KB
7 - Time Series Analysis & Forecasting/229 - Decomposition.en.srt 2.3 KB
3 - Business Statistics/58 - Bayes Theorem 1.en.srt 2.3 KB
16 - Data Engineering Basics/473 - Elements of Datalake.en.srt 2.2 KB
3 - Business Statistics/33 - Sampling Techniques (Agenda).en.srt 2.1 KB
7 - Time Series Analysis & Forecasting/246 - Models - Algorithms.en.srt 2.1 KB
10 - Transformers & Generative AI/390 - RAGs - Introduction to RAG.en.srt 2.1 KB
6 - Machine Learning/142 - Use Cases Part 2.en.srt 2.0 KB
7 - Time Series Analysis & Forecasting/281 - Project 3 - Demand Forecasting Part 4.en.srt 2.0 KB
1 - Introduction/3 - Course Resources.html 2.0 KB
4 - Exploratory Data Analysis/104 - Multivariate Analysis.en.srt 1.7 KB
16 - Data Engineering Basics/467 - Benefits of Data Warehouse.en.srt 1.6 KB
3 - Business Statistics/52 - Probability (Agenda).en.srt 1.4 KB
3 - Business Statistics/42 - Descriptive Analytics (Agenda).en.srt 1.4 KB
3 - Business Statistics/28 - Types of Data (Agenda).en.srt 965 bytes
3 - Business Statistics/71 - Covariance & Correlation (Agenda).en.srt 917 bytes
16 - Data Engineering Basics/463 - Introduction to Data Engineering.en.srt 888 bytes
14 - No-Code Tools for Agentic AI/455 - Announcement.html 416 bytes
3 - Business Statistics/26 - Course Contents.html 330 bytes
17 - Generative AI Projects/482 - Project 7 - Text-to-SQL Chatbot - Part 1.txt 172 bytes
0. Websites you may like/[FCSNEW.NET].url 119 bytes
1 - Introduction/0. Websites you may like/[FCSNEW.NET].url 119 bytes
1 - Introduction/[FCSNEW.NET].url 119 bytes
10 - Transformers & Generative AI/0. Websites you may like/[FCSNEW.NET].url 119 bytes
10 - Transformers & Generative AI/[FCSNEW.NET].url 119 bytes
11 - Generative AI (Advanced)/0. Websites you may like/[FCSNEW.NET].url 119 bytes
11 - Generative AI (Advanced)/[FCSNEW.NET].url 119 bytes
12 - RAG Assessment and Evaluation Metrics/0. Websites you may like/[FCSNEW.NET].url 119 bytes
12 - RAG Assessment and Evaluation Metrics/[FCSNEW.NET].url 119 bytes
13 - Introduction to Agentic AI/0. Websites you may like/[FCSNEW.NET].url 119 bytes
13 - Introduction to Agentic AI/[FCSNEW.NET].url 119 bytes
14 - No-Code Tools for Agentic AI/0. Websites you may like/[FCSNEW.NET].url 119 bytes
14 - No-Code Tools for Agentic AI/[FCSNEW.NET].url 119 bytes
15 - ML - DL Deployment/0. Websites you may like/[FCSNEW.NET].url 119 bytes
15 - ML - DL Deployment/[FCSNEW.NET].url 119 bytes
16 - Data Engineering Basics/0. Websites you may like/[FCSNEW.NET].url 119 bytes
16 - Data Engineering Basics/[FCSNEW.NET].url 119 bytes
17 - Generative AI Projects/0. Websites you may like/[FCSNEW.NET].url 119 bytes
17 - Generative AI Projects/[FCSNEW.NET].url 119 bytes
18 - Interview Prep (NEW SECTION)/0. Websites you may like/[FCSNEW.NET].url 119 bytes
18 - Interview Prep (NEW SECTION)/[FCSNEW.NET].url 119 bytes
2 - Python for Data Science/0. Websites you may like/[FCSNEW.NET].url 119 bytes
2 - Python for Data Science/[FCSNEW.NET].url 119 bytes
3 - Business Statistics/0. Websites you may like/[FCSNEW.NET].url 119 bytes
3 - Business Statistics/[FCSNEW.NET].url 119 bytes
4 - Exploratory Data Analysis/0. Websites you may like/[FCSNEW.NET].url 119 bytes
4 - Exploratory Data Analysis/[FCSNEW.NET].url 119 bytes
5 - SQL for Data Science/0. Websites you may like/[FCSNEW.NET].url 119 bytes
5 - SQL for Data Science/[FCSNEW.NET].url 119 bytes
6 - Machine Learning/0. Websites you may like/[FCSNEW.NET].url 119 bytes
6 - Machine Learning/[FCSNEW.NET].url 119 bytes
7 - Time Series Analysis & Forecasting/0. Websites you may like/[FCSNEW.NET].url 119 bytes
7 - Time Series Analysis & Forecasting/[FCSNEW.NET].url 119 bytes
8 - Deep Learning & Neural Networks/0. Websites you may like/[FCSNEW.NET].url 119 bytes
8 - Deep Learning & Neural Networks/[FCSNEW.NET].url 119 bytes
9 - Natural Language Processing/0. Websites you may like/[FCSNEW.NET].url 119 bytes
9 - Natural Language Processing/[FCSNEW.NET].url 119 bytes
[FCSNEW.NET].url 119 bytes
17 - Generative AI Projects/481 - Project 6 - Sustainability Chatbot (using xAI's Grok-3 AI).txt 84 bytes
18 - Interview Prep (NEW SECTION)/489 - ML Interview Prep.txt 84 bytes
5 - SQL for Data Science/119 - Course Contents.txt 84 bytes
7 - Time Series Analysis & Forecasting/224 - Introduction to TSA.txt 84 bytes
15 - ML - DL Deployment/456 - Deployment Basics.txt 72 bytes
17 - Generative AI Projects/476 - Project 3 - Automated AI Claims Processing using Gen AI.txt 72 bytes
17 - Generative AI Projects/478 - Project 5 - AI Career Coach - Part 1.txt 72 bytes
4 - Exploratory Data Analysis/84 - Course Contents.txt 72 bytes
6 - Machine Learning/138 - Agenda.txt 72 bytes
8 - Deep Learning & Neural Networks/284 - Introduction.txt 72 bytes
9 - Natural Language Processing/318 - Course Contents.txt 72 bytes
17 - Generative AI Projects/477 - Project 4 - Multi PDF RAG Chatbot built on Web Scraped Data.txt 65 bytes
17 - Generative AI Projects/475 - Project 2 - Research RAG Chatbot.txt 62 bytes
17 - Generative AI Projects/474 - Project 1 - ChatScholar (EdTech Project).txt 59 bytes
2 - Python for Data Science/4 - Welcome to the module.txt 38 bytes

[FCSNEW.NET] Udemy - Data Science & AI Masters 2025 - From Python To Gen AI

File List

Download Torrent

Related Resources

Copyright Infringement