[ WebToolTip.com ] Mastering Machine Learning Algorithms (2025)

Creation Time	July 27, 2025, 7:24 p.m.
Last Access Time	Feb. 2, 2026, 12:37 a.m.
File Size	3.8 GB
Keywords	WebToolTip Machine 2025 Algorithms Learning Mastering com
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~Get Your Files Here !/4 - Decision Trees/4 -Decision Tree Algorithms and Lets learn ID3 DT.mp4 129.4 MB
~Get Your Files Here !/4 - Decision Trees/3 -Impurity Measures - Entropy, Gini Index and Classification Error.mp4 125.3 MB
~Get Your Files Here !/4 - Decision Trees/2 -What is DT, its intuition and Terminologies.mp4 98.6 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/2 -What is Machine Learning with Example.mp4 90.5 MB
~Get Your Files Here !/2 - Simple and Multi Linear Regression/3 -Simple and Multi Linear Regression (SLR) Algorithm.mp4 86.4 MB
~Get Your Files Here !/9 - Ensemble Modeling/14 -Boosting.mp4 84.0 MB
~Get Your Files Here !/4 - Decision Trees/7 -Use case on Decision Tree - Prediction of Wine Quality.mp4 81.1 MB
~Get Your Files Here !/3 - Logistic Regression/10 -Maximum Likelihood Estimation (MLE).mp4 77.6 MB
~Get Your Files Here !/9 - Ensemble Modeling/12 -Stacking Ensemble Learning.mp4 77.1 MB
~Get Your Files Here !/7 - Un-Supervised Machine Learning Algorithms/4 -Distance Measures Use cases.mp4 74.0 MB
~Get Your Files Here !/2 - Simple and Multi Linear Regression/8 -Use case discussion.mp4 73.9 MB
~Get Your Files Here !/3 - Logistic Regression/7 -Difference between Probability and Odds.mp4 71.5 MB
~Get Your Files Here !/5 - K-Nearest Neighbor Algorithm/3 -Introduction to KNN Algorithm.mp4 70.0 MB
~Get Your Files Here !/10 - Cross Validation Techniques/3 -Stratified K-Fold Cross Validation Technique.mp4 66.2 MB
~Get Your Files Here !/6 - Naïve Bayes Algorithm/5 -Naïve Bayes Classifier with example.mp4 66.1 MB
~Get Your Files Here !/9 - Ensemble Modeling/4 -Simple Ensemble Modeling Methods - Voting, Averaging and Weighted Averaging.mp4 63.3 MB
~Get Your Files Here !/8 - Dimensionality Reduction Techniques in Un-Supervised ML/1 -tSNE Introduction.mp4 63.0 MB
~Get Your Files Here !/9 - Ensemble Modeling/10 -Random Forest.mp4 63.0 MB
~Get Your Files Here !/3 - Logistic Regression/5 -Confusion Matrix.mp4 60.9 MB
~Get Your Files Here !/9 - Ensemble Modeling/3 -Bias and Variance Tradeoff.mp4 60.4 MB
~Get Your Files Here !/6 - Naïve Bayes Algorithm/3 -Bayes Theorem With Example.mp4 59.2 MB
~Get Your Files Here !/2 - Simple and Multi Linear Regression/1 -Introduction to Correlation and Regression.mp4 57.3 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/4 -Types of Machine Learning and List of most ML algorithms.mp4 55.6 MB
~Get Your Files Here !/9 - Ensemble Modeling/11 -Hyperparameters to tune Random Forest.mp4 53.6 MB
~Get Your Files Here !/6 - Naïve Bayes Algorithm/2 -Naïve Bayes Algorithm Pre-requisites.mp4 53.3 MB
~Get Your Files Here !/2 - Simple and Multi Linear Regression/2 -Regression Algorithm Assumptions.mp4 52.3 MB
~Get Your Files Here !/5 - K-Nearest Neighbor Algorithm/1 -Parametric and Non-Parametric ML Algorithms.mp4 51.3 MB
~Get Your Files Here !/5 - K-Nearest Neighbor Algorithm/2 -Distance Measures.mp4 50.8 MB
~Get Your Files Here !/10 - Cross Validation Techniques/10 -Parameters and Hyper-Parameters of the ML Algorithms.mp4 49.9 MB
~Get Your Files Here !/7 - Un-Supervised Machine Learning Algorithms/3 -Distance Measures.mp4 49.6 MB
~Get Your Files Here !/9 - Ensemble Modeling/2 -What is Ensemble and Model Error.mp4 48.8 MB
~Get Your Files Here !/9 - Ensemble Modeling/17 -AdaBoosting Ensemble Learning - Example.mp4 47.9 MB
~Get Your Files Here !/4 - Decision Trees/5 -CART Decision Tree Algorithm - wrt Classification.mp4 47.7 MB
~Get Your Files Here !/3 - Logistic Regression/4 -Linear VS Logistic Regression.mp4 47.3 MB
~Get Your Files Here !/3 - Logistic Regression/3 -Logistic Regression Explanation with Example.mp4 47.2 MB
~Get Your Files Here !/3 - Logistic Regression/2 -What is Logistic Regression, How it is different from linear regression and how.mp4 47.0 MB
~Get Your Files Here !/2 - Simple and Multi Linear Regression/5 -R-Square Performance Measure.mp4 45.8 MB
~Get Your Files Here !/9 - Ensemble Modeling/15 -Boosting Algorithm Steps.mp4 45.5 MB
~Get Your Files Here !/3 - Logistic Regression/6 -Performance Metrics in Classification.mp4 44.9 MB
~Get Your Files Here !/10 - Cross Validation Techniques/11 -GridSearchCV - Hyper-Parameter Tuning Method.mp4 44.8 MB
~Get Your Files Here !/9 - Ensemble Modeling/9 -Vanilla Bagging Algorithm.mp4 44.0 MB
~Get Your Files Here !/8 - Dimensionality Reduction Techniques in Un-Supervised ML/4 -tSNE Using the MINIST Dataset.mp4 42.4 MB
~Get Your Files Here !/2 - Simple and Multi Linear Regression/4 -Hypothesis Testing to evaluate the significance of regression line.mp4 41.8 MB
~Get Your Files Here !/9 - Ensemble Modeling/13 -Use case On Stacking.mp4 41.3 MB
~Get Your Files Here !/9 - Ensemble Modeling/7 -Use case 2 - Understanding the 63.21% Rule in Sampling with Replacement.mp4 40.7 MB
~Get Your Files Here !/9 - Ensemble Modeling/16 -AdaBoosting Ensemble Learning Model.mp4 39.5 MB
~Get Your Files Here !/7 - Un-Supervised Machine Learning Algorithms/9 -KMeans Use cases.mp4 38.3 MB
~Get Your Files Here !/10 - Cross Validation Techniques/9 -Use case using the SMOTE.mp4 37.4 MB
~Get Your Files Here !/4 - Decision Trees/6 -CART Decision Tree Algorithm - wrt Regression.mp4 37.4 MB
~Get Your Files Here !/9 - Ensemble Modeling/5 -Random Sampling with Replacement.mp4 36.5 MB
~Get Your Files Here !/9 - Ensemble Modeling/19 -Gradient Boosting Algorithm.mp4 36.3 MB
~Get Your Files Here !/3 - Logistic Regression/9 -Difference between Probability and Likelihood.mp4 32.6 MB
~Get Your Files Here !/5 - K-Nearest Neighbor Algorithm/5 -How to find optimum K Value in KNN.mp4 32.1 MB
~Get Your Files Here !/10 - Cross Validation Techniques/4 -Leave P-Out Cross Validation Technique.mp4 31.8 MB
~Get Your Files Here !/7 - Un-Supervised Machine Learning Algorithms/13 -Use case using Silhouette score.mp4 28.4 MB
~Get Your Files Here !/5 - K-Nearest Neighbor Algorithm/7 -Example - How to find an optimum k value for KNN.mp4 26.8 MB
~Get Your Files Here !/7 - Un-Supervised Machine Learning Algorithms/6 -KMeans Clustering Algorithm.mp4 26.7 MB
~Get Your Files Here !/10 - Cross Validation Techniques/2 -K-Fold Cross Validation Technique.mp4 26.4 MB
~Get Your Files Here !/6 - Naïve Bayes Algorithm/1 -Partition Theorem.mp4 26.4 MB
~Get Your Files Here !/10 - Cross Validation Techniques/6 -Imbalanced Dataset.mp4 26.3 MB
~Get Your Files Here !/10 - Cross Validation Techniques/7 -OverSampling and UnderSampling.mp4 25.4 MB
~Get Your Files Here !/7 - Un-Supervised Machine Learning Algorithms/12 -Silhouette Score Example.mp4 25.4 MB
~Get Your Files Here !/5 - K-Nearest Neighbor Algorithm/6 -Use case explaining KNN implementation.mp4 24.7 MB
~Get Your Files Here !/9 - Ensemble Modeling/20 -Gradient Boosting Example.mp4 23.9 MB
~Get Your Files Here !/7 - Un-Supervised Machine Learning Algorithms/5 -Use of Distance Measures in Machine Learning.mp4 23.8 MB
~Get Your Files Here !/9 - Ensemble Modeling/18 -Bagging and Boosting Comparison.mp4 23.7 MB
~Get Your Files Here !/7 - Un-Supervised Machine Learning Algorithms/11 -Performance Metrics in Clustering.mp4 23.7 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/3 -Tom M. Mitchell Definition of Machine Learning.mp4 23.5 MB
~Get Your Files Here !/7 - Un-Supervised Machine Learning Algorithms/10 -Elbow Method.mp4 23.4 MB
~Get Your Files Here !/10 - Cross Validation Techniques/1 -Hold Out Cross Validation Technique.mp4 23.3 MB
~Get Your Files Here !/3 - Logistic Regression/11 -Solving Logistic Regression Example with MLE.mp4 23.2 MB
~Get Your Files Here !/8 - Dimensionality Reduction Techniques in Un-Supervised ML/3 -tSNE use case.mp4 23.0 MB
~Get Your Files Here !/9 - Ensemble Modeling/21 -XGBoost Ensemble Learning Method.mp4 22.5 MB
~Get Your Files Here !/7 - Un-Supervised Machine Learning Algorithms/7 -Example - Clustering the data using KMeans Clustering Algorithm.mp4 22.4 MB
~Get Your Files Here !/3 - Logistic Regression/8 -Logistic Regression Derivation.mp4 21.1 MB
~Get Your Files Here !/3 - Logistic Regression/1 -What is classification and regression.mp4 19.6 MB
~Get Your Files Here !/2 - Simple and Multi Linear Regression/7 -Introduction to Use Case.mp4 19.5 MB
~Get Your Files Here !/9 - Ensemble Modeling/6 -Use case 1 - Random Sampling with Replacement using customer feedback data.mp4 18.7 MB
~Get Your Files Here !/9 - Ensemble Modeling/1 -Introduction.mp4 18.6 MB
~Get Your Files Here !/10 - Cross Validation Techniques/8 -Synthetic Minority Oversampling Technique (SMOTE).mp4 18.6 MB
~Get Your Files Here !/5 - K-Nearest Neighbor Algorithm/4 -How KNN Algorithm works.mp4 18.5 MB
~Get Your Files Here !/2 - Simple and Multi Linear Regression/6 -Simple Linear Regression Implementation using sklearn library.mp4 18.2 MB
~Get Your Files Here !/9 - Ensemble Modeling/8 -Bagging.mp4 16.7 MB
~Get Your Files Here !/8 - Dimensionality Reduction Techniques in Un-Supervised ML/2 -tSNE Algorithm Steps.mp4 14.3 MB
~Get Your Files Here !/6 - Naïve Bayes Algorithm/4 -Bayes Theorem Formal Defination.mp4 12.9 MB
~Get Your Files Here !/7 - Un-Supervised Machine Learning Algorithms/1 -Recap of our learning.mp4 11.6 MB
~Get Your Files Here !/7 - Un-Supervised Machine Learning Algorithms/8 -KMeans Cost Function.mp4 10.9 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/1 -Introduction to the Course.mp4 10.5 MB
~Get Your Files Here !/10 - Cross Validation Techniques/5 -Leave One Out Cross Validation.mp4 10.4 MB
~Get Your Files Here !/4 - Decision Trees/1 -Agenda.mp4 6.9 MB
~Get Your Files Here !/7 - Un-Supervised Machine Learning Algorithms/2 -Agenda.mp4 6.8 MB
~Get Your Files Here !/4 - Decision Trees/7 - Implementation of CART using SKLearn Library.html 5.6 KB
~Get Your Files Here !/1 - Introduction to Machine Learning/5 - Read and Learn - List of All Machine Learning Algorithms.html 4.5 KB
~Get Your Files Here !/1 - Introduction to Machine Learning/5 - Read and Learn - What is Machine Learning and its applications.html 3.8 KB
~Get Your Files Here !/2 - Simple and Multi Linear Regression/4 - Read and Learn - Multi Linear Regression with Implementation Example.html 3.3 KB
~Get Your Files Here !/2 - Simple and Multi Linear Regression/3 - Read and Learn - Linear Regression algorithm Assumptions.html 3.1 KB
~Get Your Files Here !/2 - Simple and Multi Linear Regression/2 - Read and Learn - What is Correlation and Regression.html 2.8 KB
~Get Your Files Here !/1 - Introduction to Machine Learning/5 - Read and Learn - What are the types of Machine Learning.html 2.6 KB
~Get Your Files Here !/2 - Simple and Multi Linear Regression/4 - Read and Learn - Simple Linear Regression with Implementation Example.html 2.0 KB
Get Bonus Downloads Here.url 180 bytes
~Get Your Files Here !/Bonus Resources.txt 70 bytes

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