[Udemy] Python for Data Science and Machine Learning Bootcamp (2020) [En]

Creation Time	Aug. 6, 2023, 12:02 p.m.
Last Access Time	Feb. 19, 2026, 3:21 p.m.
File Size	5.6 GB
Keywords	and En for Python Science Udemy Machine 2020 Learning Bootcamp Data
Total Requests	137
Total Files	333
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25. Neural Nets and Deep Learning/31. Tensorboard.mp4 144.2 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 143.6 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 137.0 MB
25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 124.9 MB
25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 111.3 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 96.8 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 86.5 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 85.4 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 84.3 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 82.7 MB
25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 80.5 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 76.3 MB
25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 76.2 MB
25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 76.0 MB
18. K Nearest Neighbors/4. KNN Project Solutions.mp4 70.9 MB
26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 70.8 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 70.6 MB
25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 68.9 MB
25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 64.8 MB
25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 63.1 MB
11. Python for Data Visualization - Plotly and Cufflinks/3. Plotly and Cufflinks.mp4 62.6 MB
25. Neural Nets and Deep Learning/8. Activation Functions.mp4 62.6 MB
9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp4 61.7 MB
13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp4 60.5 MB
13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp4 58.8 MB
25. Neural Nets and Deep Learning/11. Backpropagation.mp4 58.0 MB
24. Natural Language Processing/6. NLP Project Solutions.mp4 57.7 MB
21. K Means Clustering/4. K Means Project Solutions.mp4 56.7 MB
15. Linear Regression/6. Linear Regression Project Solution.mp4 56.5 MB
25. Neural Nets and Deep Learning/20. TF Classification Code Along - EDA and Preprocessing.mp4 56.2 MB
20. Support Vector Machines/2. Support Vector Machines with Python.mp4 56.2 MB
13. Data Capstone Project/8. Finance Project - Solutions Part 2.mp4 55.8 MB
12. Python for Data Visualization - Geographical Plotting/2. Choropleth Maps - Part 1 - USA.mp4 55.0 MB
18. K Nearest Neighbors/2. KNN with Python.mp4 54.7 MB
1. Course Introduction/3.1 Py_DS_ML_Bootcamp-master.zip 52.5 MB
2. Environment Set-Up/1.1 Py-DS-ML-Bootcamp-master.zip 52.5 MB
3. Jupyter Overview/2.1 Py-DS-ML-Bootcamp-master.zip 52.5 MB
15. Linear Regression/3. Linear Regression with Python - Part 1.mp4 52.3 MB
7. Python for Data Analysis - Pandas Exercises/5. Ecommerce Purchases Exercise Solutions.mp4 52.0 MB
7. Python for Data Analysis - Pandas Exercises/3. SF Salaries Solutions.mp4 51.8 MB
25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part One - Preparing the Data.mp4 50.3 MB
6. Python for Data Analysis - Pandas/5. DataFrames - Part 2.mp4 49.9 MB
22. Principal Component Analysis/2. PCA with Python.mp4 49.8 MB
13. Data Capstone Project/3. 911 Calls Solutions - Part 1.mp4 49.2 MB
19. Decision Trees and Random Forests/2. Decision Trees and Random Forest with Python.mp4 49.1 MB
24. Natural Language Processing/3. NLP with Python - Part 2.mp4 49.1 MB
17. Logistic Regression/2. Logistic Regression with Python - Part 1.mp4 49.0 MB
25. Neural Nets and Deep Learning/6. Perceptron Model.mp4 48.0 MB
24. Natural Language Processing/2. NLP with Python - Part 1.mp4 47.4 MB
25. Neural Nets and Deep Learning/18. TF Regression Code Along - Data Preprocessing and Creating a Model.mp4 47.0 MB
5. Python for Data Analysis - NumPy/8. Numpy Exercises Solutions.mp4 46.2 MB
25. Neural Nets and Deep Learning/9. Multi-Class Classification Considerations.mp4 46.1 MB
6. Python for Data Analysis - Pandas/4. DataFrames - Part 1.mp4 45.6 MB
6. Python for Data Analysis - Pandas/11. Data Input and Output.mp4 44.5 MB
9. Python for Data Visualization - Seaborn/3. Categorical Plots.mp4 44.4 MB
24. Natural Language Processing/4. NLP with Python - Part 3.mp4 43.5 MB
23. Recommender Systems/2. Recommender Systems with Python - Part 1.mp4 43.4 MB
1. Course Introduction/1. Introduction to the Course.mp4 43.0 MB
5. Python for Data Analysis - NumPy/5. Numpy Array Indexing.mp4 42.2 MB
8. Python for Data Visualization - Matplotlib/3. Matplotlib Part 1.mp4 41.6 MB
4. Python Crash Course/3. Python Crash Course - Part 1.mp4 40.2 MB
14. Introduction to Machine Learning/3. Supervised Learning Overview.mp4 40.0 MB
23. Recommender Systems/3. Recommender Systems with Python - Part 2.mp4 39.4 MB
17. Logistic Regression/3. Logistic Regression with Python - Part 2.mp4 38.8 MB
5. Python for Data Analysis - NumPy/3. Numpy Arrays.mp4 38.1 MB
3. Jupyter Overview/2. Jupyter Notebooks.mp4 37.8 MB
10. Python for Data Visualization - Pandas Built-in Data Visualization/1. Pandas Built-in Data Visualization.mp4 36.9 MB
19. Decision Trees and Random Forests/4. Decision Trees and Random Forest Solutions Part 1.mp4 36.7 MB
17. Logistic Regression/6. Logistic Regression Project Solutions.mp4 36.7 MB
25. Neural Nets and Deep Learning/7. Neural Networks.mp4 35.9 MB
10. Python for Data Visualization - Pandas Built-in Data Visualization/3. Pandas Data Visualization Exercise- Solutions.mp4 35.9 MB
4. Python Crash Course/5. Python Crash Course - Part 3.mp4 35.8 MB
8. Python for Data Visualization - Matplotlib/4. Matplotlib Part 2.mp4 35.5 MB
21. K Means Clustering/2. K Means with Python.mp4 34.6 MB
4. Python Crash Course/8. Python Crash Course Exercises - Solutions.mp4 34.4 MB
20. Support Vector Machines/4. SVM Project Solutions.mp4 33.6 MB
12. Python for Data Visualization - Geographical Plotting/5. Choropleth Exercises - Solutions.mp4 33.5 MB
25. Neural Nets and Deep Learning/1.2 TensorFlow_FILES.zip 33.1 MB
8. Python for Data Visualization - Matplotlib/7. Matplotlib Exercises - Solutions.mp4 32.8 MB
4. Python Crash Course/6. Python Crash Course - Part 4.mp4 32.5 MB
19. Decision Trees and Random Forests/5. Decision Trees and Random Forest Solutions Part 2.mp4 32.3 MB
4. Python Crash Course/4. Python Crash Course - Part 2.mp4 32.2 MB
8. Python for Data Visualization - Matplotlib/5. Matplotlib Part 3.mp4 31.9 MB
6. Python for Data Analysis - Pandas/9. Merging Joining and Concatenating.mp4 30.4 MB
5. Python for Data Analysis - NumPy/6. Numpy Operations.mp4 30.1 MB
25. Neural Nets and Deep Learning/29. Keras Project Solutions - Creating and Training a Model.mp4 29.7 MB
6. Python for Data Analysis - Pandas/10. Operations.mp4 27.4 MB
9. Python for Data Visualization - Seaborn/4. Matrix Plots.mp4 25.4 MB
12. Python for Data Visualization - Geographical Plotting/3. Choropleth Maps - Part 2 - World.mp4 24.4 MB
6. Python for Data Analysis - Pandas/6. DataFrames - Part 3.mp4 24.3 MB
9. Python for Data Visualization - Seaborn/9. Seaborn Exercise Solutions.mp4 24.2 MB
25. Neural Nets and Deep Learning/28. Keras Project Solutions - Data PreProcessing.mp4 24.0 MB
9. Python for Data Visualization - Seaborn/5. Grids.mp4 24.0 MB
14. Introduction to Machine Learning/5. Evaluating Performance - Regression Error Metrics.mp4 23.7 MB
17. Logistic Regression/1. Logistic Regression Theory.mp4 23.5 MB
6. Python for Data Analysis - Pandas/3. Series.mp4 22.7 MB
9. Python for Data Visualization - Seaborn/7. Style and Color.mp4 22.7 MB
1. Course Introduction/2. Course Help and Welcome.mp4 22.1 MB
3. Jupyter Overview/3. Optional Virtual Environments.mp4 21.8 MB
17. Logistic Regression/4. Logistic Regression with Python - Part 3.mp4 20.0 MB
13. Data Capstone Project/9. Finance Project - Solutions Part 3.mp4 19.9 MB
14. Introduction to Machine Learning/2. Welcome to the Machine Learning Section!.mp4 19.5 MB
15. Linear Regression/4. Linear Regression with Python - Part 2.mp4 19.3 MB
14. Introduction to Machine Learning/6. Machine Learning with Python.mp4 18.8 MB
26. Big Data and Spark with Python/11. Introduction to Spark and Python.mp4 18.1 MB
9. Python for Data Visualization - Seaborn/6. Regression Plots.mp4 18.0 MB
26. Big Data and Spark with Python/3. Spark Overview.mp4 17.5 MB
6. Python for Data Analysis - Pandas/8. Groupby.mp4 16.7 MB
13. Data Capstone Project/6. Finance Data Project Overview.mp4 16.4 MB
8. Python for Data Visualization - Matplotlib/2. Introduction to Matplotlib.mp4 16.3 MB
11. Python for Data Visualization - Plotly and Cufflinks/1. Introduction to Plotly and Cufflinks.mp4 15.6 MB
19. Decision Trees and Random Forests/3. Decision Trees and Random Forest Project Overview.mp4 15.4 MB
8. Python for Data Visualization - Matplotlib/1. Welcome to the Data Visualization Section!.mp4 14.2 MB
26. Big Data and Spark with Python/1. Welcome to the Big Data Section!.mp4 14.2 MB
15. Linear Regression/5. Linear Regression Project Overview.mp4 14.2 MB
6. Python for Data Analysis - Pandas/7. Missing Data.mp4 13.7 MB
19. Decision Trees and Random Forests/1. Introduction to Tree Methods.mp4 13.5 MB
25. Neural Nets and Deep Learning/3. Welcome to the Deep Learning Section!.mp4 13.4 MB
26. Big Data and Spark with Python/5. AWS Account Set-Up.mp4 13.1 MB
16. Cross Validation and Bias-Variance Trade-Off/1. Bias Variance Trade-Off.mp4 12.9 MB
12. Python for Data Visualization - Geographical Plotting/4. Choropleth Exercises.mp4 12.9 MB
4. Python Crash Course/7. Python Crash Course Exercises - Overview.mp4 12.2 MB
5. Python for Data Analysis - NumPy/7. Numpy Exercises Overview.mp4 12.2 MB
9. Python for Data Visualization - Seaborn/1. Introduction to Seaborn.mp4 11.6 MB
21. K Means Clustering/3. K Means Project Overview.mp4 11.6 MB
13. Data Capstone Project/2. 911 Calls Project Overview.mp4 11.5 MB
26. Big Data and Spark with Python/2. Big Data Overview.mp4 11.3 MB
18. K Nearest Neighbors/1. KNN Theory.mp4 11.2 MB
20. Support Vector Machines/3. SVM Project Overview.mp4 11.2 MB
21. K Means Clustering/1. K Means Algorithm Theory.mp4 11.0 MB
13. Data Capstone Project/1. Welcome to the Data Capstone Projects!.mp4 11.0 MB
26. Big Data and Spark with Python/8. SSH with Mac or Linux.mp4 10.9 MB
4. Python Crash Course/1. Welcome to the Python Crash Course Section!.mp4 10.7 MB
25. Neural Nets and Deep Learning/12. TensorFlow vs Keras.mp4 10.4 MB
26. Big Data and Spark with Python/10. Lambda Expressions Review.mp4 10.3 MB
20. Support Vector Machines/1. SVM Theory.mp4 9.9 MB
15. Linear Regression/1. Linear Regression Theory.mp4 9.9 MB
24. Natural Language Processing/1. Natural Language Processing Theory.mp4 9.8 MB
25. Neural Nets and Deep Learning/4. Introduction to Artificial Neural Networks (ANN).mp4 9.7 MB
6. Python for Data Analysis - Pandas/1. Welcome to the Pandas Section!.mp4 9.1 MB
23. Recommender Systems/1. Recommender Systems.mp4 9.1 MB
7. Python for Data Analysis - Pandas Exercises/4. Ecommerce Purchases Exercise Overview.mp4 8.8 MB
24. Natural Language Processing/5. NLP Project Overview.mp4 8.5 MB
7. Python for Data Analysis - Pandas Exercises/2. SF Salaries Exercise Overview.mp4 8.3 MB
9. Python for Data Visualization - Seaborn/8. Seaborn Exercise Overview.mp4 8.3 MB
25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Options Overview.mp4 7.8 MB
8. Python for Data Visualization - Matplotlib/6. Matplotlib Exercises Overview.mp4 7.7 MB
22. Principal Component Analysis/1. Principal Component Analysis.mp4 7.1 MB
18. K Nearest Neighbors/3. KNN Project Overview.mp4 7.1 MB
5. Python for Data Analysis - NumPy/1. Welcome to the NumPy Section!.mp4 7.0 MB
17. Logistic Regression/5. Logistic Regression Project Overview.mp4 6.7 MB
10. Python for Data Visualization - Pandas Built-in Data Visualization/2. Pandas Data Visualization Exercise.mp4 6.5 MB
5. Python for Data Analysis - NumPy/2. Introduction to Numpy.mp4 4.7 MB
6. Python for Data Analysis - Pandas/2. Introduction to Pandas.mp4 3.5 MB
4. Python Crash Course/2. Introduction to Python Crash Course.mp4 3.0 MB
14. Introduction to Machine Learning/1.3 Python DS Presentations.zip 2.8 MB
12. Python for Data Visualization - Geographical Plotting/1. Introduction to Geographical Plotting.mp4 2.2 MB
26. Big Data and Spark with Python/9. PySpark Setup.srt 36.4 KB
26. Big Data and Spark with Python/12. RDD Transformations and Actions.srt 32.3 KB
25. Neural Nets and Deep Learning/31. Tensorboard.srt 30.7 KB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.srt 30.4 KB
25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.srt 28.8 KB
9. Python for Data Visualization - Seaborn/2. Distribution Plots.srt 28.5 KB
11. Python for Data Visualization - Plotly and Cufflinks/3. Plotly and Cufflinks.srt 27.7 KB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.srt 27.4 KB
25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.srt 27.3 KB
4. Python Crash Course/3. Python Crash Course - Part 1.srt 27.3 KB
24. Natural Language Processing/6. NLP Project Solutions.srt 27.0 KB
18. K Nearest Neighbors/2. KNN with Python.srt 26.7 KB
13. Data Capstone Project/4. 911 Calls Solutions - Part 2.srt 26.5 KB
12. Python for Data Visualization - Geographical Plotting/2. Choropleth Maps - Part 1 - USA.srt 26.3 KB
17. Logistic Regression/2. Logistic Regression with Python - Part 1.srt 26.2 KB
15. Linear Regression/6. Linear Regression Project Solution.srt 26.1 KB
15. Linear Regression/3. Linear Regression with Python - Part 1.srt 26.1 KB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.srt 26.0 KB
9. Python for Data Visualization - Seaborn/3. Categorical Plots.srt 26.0 KB
25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.srt 25.8 KB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.srt 25.7 KB
24. Natural Language Processing/3. NLP with Python - Part 2.srt 25.3 KB
13. Data Capstone Project/8. Finance Project - Solutions Part 2.srt 25.2 KB
5. Python for Data Analysis - NumPy/5. Numpy Array Indexing.srt 25.1 KB
8. Python for Data Visualization - Matplotlib/3. Matplotlib Part 1.srt 25.1 KB
6. Python for Data Analysis - Pandas/5. DataFrames - Part 2.srt 25.0 KB
20. Support Vector Machines/2. Support Vector Machines with Python.srt 24.8 KB
13. Data Capstone Project/7. Finance Project - Solutions Part 1.srt 24.3 KB
24. Natural Language Processing/4. NLP with Python - Part 3.srt 23.9 KB
5. Python for Data Analysis - NumPy/8. Numpy Exercises Solutions.srt 23.8 KB
17. Logistic Regression/3. Logistic Regression with Python - Part 2.srt 23.8 KB
22. Principal Component Analysis/2. PCA with Python.srt 23.5 KB
4. Python Crash Course/5. Python Crash Course - Part 3.srt 23.2 KB
5. Python for Data Analysis - NumPy/3. Numpy Arrays.srt 22.9 KB
3. Jupyter Overview/2. Jupyter Notebooks.srt 22.7 KB
21. K Means Clustering/4. K Means Project Solutions.srt 22.7 KB
4. Python Crash Course/4. Python Crash Course - Part 2.srt 22.5 KB
24. Natural Language Processing/2. NLP with Python - Part 1.srt 22.1 KB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.srt 22.0 KB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.srt 21.8 KB
8. Python for Data Visualization - Matplotlib/4. Matplotlib Part 2.srt 21.5 KB
4. Python Crash Course/6. Python Crash Course - Part 4.srt 21.3 KB
7. Python for Data Analysis - Pandas Exercises/5. Ecommerce Purchases Exercise Solutions.srt 21.3 KB
6. Python for Data Analysis - Pandas/4. DataFrames - Part 1.srt 21.3 KB
2. Environment Set-Up/1. Python Environment Setup.srt 21.3 KB
25. Neural Nets and Deep Learning/11. Backpropagation.srt 21.1 KB
6. Python for Data Analysis - Pandas/11. Data Input and Output.srt 21.0 KB
13. Data Capstone Project/3. 911 Calls Solutions - Part 1.srt 20.9 KB
10. Python for Data Visualization - Pandas Built-in Data Visualization/1. Pandas Built-in Data Visualization.srt 20.8 KB
7. Python for Data Analysis - Pandas Exercises/3. SF Salaries Solutions.srt 20.7 KB
19. Decision Trees and Random Forests/2. Decision Trees and Random Forest with Python.srt 20.1 KB
25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.srt 19.8 KB
23. Recommender Systems/2. Recommender Systems with Python - Part 1.srt 19.4 KB
18. K Nearest Neighbors/4. KNN Project Solutions.srt 19.2 KB
25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.srt 18.4 KB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.srt 18.2 KB
6. Python for Data Analysis - Pandas/10. Operations.srt 17.8 KB
8. Python for Data Visualization - Matplotlib/5. Matplotlib Part 3.srt 17.7 KB
21. K Means Clustering/2. K Means with Python.srt 17.4 KB
17. Logistic Regression/1. Logistic Regression Theory.srt 17.3 KB
25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.srt 17.2 KB
19. Decision Trees and Random Forests/4. Decision Trees and Random Forest Solutions Part 1.srt 17.1 KB
23. Recommender Systems/3. Recommender Systems with Python - Part 2.srt 17.1 KB
25. Neural Nets and Deep Learning/9. Multi-Class Classification Considerations.srt 17.0 KB
25. Neural Nets and Deep Learning/8. Activation Functions.srt 16.9 KB
4. Python Crash Course/8. Python Crash Course Exercises - Solutions.srt 16.4 KB
25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part One - Preparing the Data.srt 15.8 KB
6. Python for Data Analysis - Pandas/3. Series.srt 15.5 KB
25. Neural Nets and Deep Learning/6. Perceptron Model.srt 15.4 KB
3. Jupyter Overview/3. Optional Virtual Environments.srt 15.4 KB
17. Logistic Regression/6. Logistic Regression Project Solutions.srt 14.7 KB
9. Python for Data Visualization - Seaborn/4. Matrix Plots.srt 14.5 KB
25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.srt 14.5 KB
14. Introduction to Machine Learning/6. Machine Learning with Python.srt 14.2 KB
12. Python for Data Visualization - Geographical Plotting/5. Choropleth Exercises - Solutions.srt 13.9 KB
6. Python for Data Analysis - Pandas/9. Merging Joining and Concatenating.srt 13.6 KB
26. Big Data and Spark with Python/3. Spark Overview.srt 13.6 KB
10. Python for Data Visualization - Pandas Built-in Data Visualization/3. Pandas Data Visualization Exercise- Solutions.srt 13.3 KB
14. Introduction to Machine Learning/3. Supervised Learning Overview.srt 13.2 KB
20. Support Vector Machines/4. SVM Project Solutions.srt 13.2 KB
25. Neural Nets and Deep Learning/18. TF Regression Code Along - Data Preprocessing and Creating a Model.srt 13.0 KB
25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.srt 13.0 KB
8. Python for Data Visualization - Matplotlib/7. Matplotlib Exercises - Solutions.srt 12.9 KB
9. Python for Data Visualization - Seaborn/5. Grids.srt 12.7 KB
6. Python for Data Analysis - Pandas/6. DataFrames - Part 3.srt 12.5 KB
9. Python for Data Visualization - Seaborn/7. Style and Color.srt 12.2 KB
26. Big Data and Spark with Python/11. Introduction to Spark and Python.srt 12.1 KB
19. Decision Trees and Random Forests/5. Decision Trees and Random Forest Solutions Part 2.srt 12.1 KB
25. Neural Nets and Deep Learning/20. TF Classification Code Along - EDA and Preprocessing.srt 12.1 KB
17. Logistic Regression/4. Logistic Regression with Python - Part 3.srt 11.8 KB
25. Neural Nets and Deep Learning/7. Neural Networks.srt 11.4 KB
5. Python for Data Analysis - NumPy/6. Numpy Operations.srt 10.9 KB
9. Python for Data Visualization - Seaborn/6. Regression Plots.srt 10.3 KB
9. Python for Data Visualization - Seaborn/9. Seaborn Exercise Solutions.srt 10.2 KB
15. Linear Regression/4. Linear Regression with Python - Part 2.srt 10.1 KB
6. Python for Data Analysis - Pandas/8. Groupby.srt 10.0 KB
19. Decision Trees and Random Forests/1. Introduction to Tree Methods.srt 9.9 KB
16. Cross Validation and Bias-Variance Trade-Off/1. Bias Variance Trade-Off.srt 9.7 KB
14. Introduction to Machine Learning/5. Evaluating Performance - Regression Error Metrics.srt 9.1 KB
13. Data Capstone Project/9. Finance Project - Solutions Part 3.srt 8.9 KB
12. Python for Data Visualization - Geographical Plotting/3. Choropleth Maps - Part 2 - World.srt 8.9 KB
6. Python for Data Analysis - Pandas/7. Missing Data.srt 8.7 KB
18. K Nearest Neighbors/1. KNN Theory.srt 8.0 KB
26. Big Data and Spark with Python/8. SSH with Mac or Linux.srt 7.9 KB
26. Big Data and Spark with Python/10. Lambda Expressions Review.srt 7.9 KB
26. Big Data and Spark with Python/2. Big Data Overview.srt 7.8 KB
21. K Means Clustering/1. K Means Algorithm Theory.srt 7.5 KB
24. Natural Language Processing/1. Natural Language Processing Theory.srt 7.0 KB
26. Big Data and Spark with Python/5. AWS Account Set-Up.srt 6.8 KB
23. Recommender Systems/1. Recommender Systems.srt 6.7 KB
15. Linear Regression/1. Linear Regression Theory.srt 6.7 KB
20. Support Vector Machines/1. SVM Theory.srt 6.6 KB
25. Neural Nets and Deep Learning/29. Keras Project Solutions - Creating and Training a Model.srt 6.5 KB
1. Course Introduction/1. Introduction to the Course.srt 5.9 KB
4. Python Crash Course/7. Python Crash Course Exercises - Overview.srt 5.9 KB
12. Python for Data Visualization - Geographical Plotting/4. Choropleth Exercises.srt 5.7 KB
25. Neural Nets and Deep Learning/28. Keras Project Solutions - Data PreProcessing.srt 5.6 KB
11. Python for Data Visualization - Plotly and Cufflinks/1. Introduction to Plotly and Cufflinks.srt 5.5 KB
13. Data Capstone Project/6. Finance Data Project Overview.srt 5.4 KB
1. Course Introduction/3. Course FAQs.html 5.3 KB
8. Python for Data Visualization - Matplotlib/2. Introduction to Matplotlib.srt 5.2 KB
19. Decision Trees and Random Forests/3. Decision Trees and Random Forest Project Overview.srt 5.0 KB
22. Principal Component Analysis/1. Principal Component Analysis.srt 4.9 KB
5. Python for Data Analysis - NumPy/7. Numpy Exercises Overview.srt 4.8 KB
21. K Means Clustering/3. K Means Project Overview.srt 4.8 KB
9. Python for Data Visualization - Seaborn/1. Introduction to Seaborn.srt 4.5 KB
15. Linear Regression/5. Linear Regression Project Overview.srt 4.0 KB
7. Python for Data Analysis - Pandas Exercises/4. Ecommerce Purchases Exercise Overview.srt 3.8 KB
20. Support Vector Machines/3. SVM Project Overview.srt 3.8 KB
13. Data Capstone Project/2. 911 Calls Project Overview.srt 3.6 KB
24. Natural Language Processing/5. NLP Project Overview.srt 3.6 KB
25. Neural Nets and Deep Learning/4. Introduction to Artificial Neural Networks (ANN).srt 3.5 KB
7. Python for Data Analysis - Pandas Exercises/2. SF Salaries Exercise Overview.srt 3.4 KB
5. Python for Data Analysis - NumPy/2. Introduction to Numpy.srt 3.3 KB
25. Neural Nets and Deep Learning/12. TensorFlow vs Keras.srt 3.1 KB
9. Python for Data Visualization - Seaborn/8. Seaborn Exercise Overview.srt 2.9 KB
25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Options Overview.srt 2.7 KB
8. Python for Data Visualization - Matplotlib/6. Matplotlib Exercises Overview.srt 2.6 KB
6. Python for Data Analysis - Pandas/2. Introduction to Pandas.srt 2.6 KB
17. Logistic Regression/5. Logistic Regression Project Overview.srt 2.6 KB
4. Python Crash Course/2. Introduction to Python Crash Course.srt 2.3 KB
10. Python for Data Visualization - Pandas Built-in Data Visualization/2. Pandas Data Visualization Exercise.srt 2.3 KB
18. K Nearest Neighbors/3. KNN Project Overview.srt 2.2 KB
26. Big Data and Spark with Python/4. Local Spark Set-Up.html 1.6 KB
11. Python for Data Visualization - Plotly and Cufflinks/2. READ ME FIRST BEFORE PLOTLY PLEASE!.html 1.5 KB
12. Python for Data Visualization - Geographical Plotting/1. Introduction to Geographical Plotting.srt 1.4 KB
1. Course Introduction/2. Course Help and Welcome.srt 1.1 KB
5. Python for Data Analysis - NumPy/4. Quick Note on Array Indexing.html 1.0 KB
14. Introduction to Machine Learning/2. Welcome to the Machine Learning Section!.srt 991 bytes
14. Introduction to Machine Learning/1. Welcome to Machine Learning. Here are a few resources to get you started!.html 847 bytes
15. Linear Regression/2. model_selection Updates for SciKit Learn 0.18.html 845 bytes
8. Python for Data Visualization - Matplotlib/1. Welcome to the Data Visualization Section!.srt 748 bytes
26. Big Data and Spark with Python/1. Welcome to the Big Data Section!.srt 740 bytes
25. Neural Nets and Deep Learning/3. Welcome to the Deep Learning Section!.srt 709 bytes
13. Data Capstone Project/1. Welcome to the Data Capstone Projects!.srt 614 bytes
7. Python for Data Analysis - Pandas Exercises/1. Note on SF Salary Exercise.html 559 bytes
4. Python Crash Course/1. Welcome to the Python Crash Course Section!.srt 553 bytes
27. BONUS SECTION THANK YOU!/1. Bonus Lecture.html 532 bytes
6. Python for Data Analysis - Pandas/1. Welcome to the Pandas Section!.srt 469 bytes
25. Neural Nets and Deep Learning/5. Installing Tensorflow.html 408 bytes
26. Big Data and Spark with Python/6. Quick Note on AWS Security.html 392 bytes
13. Data Capstone Project/5. Bank Data.html 363 bytes
5. Python for Data Analysis - NumPy/1. Welcome to the NumPy Section!.srt 348 bytes
25. Neural Nets and Deep Learning/1. Download TensorFlow Notebooks Here.html 315 bytes
3. Jupyter Overview/1. Updates to Notebook Zip.html 197 bytes
25. Neural Nets and Deep Learning/2. Quick Check for Notes.html 164 bytes
26. Big Data and Spark with Python/9.1 Step by Step Guide for PySpark Set-up.html 158 bytes
26. Big Data and Spark with Python/5.1 Amazon Guide to Creating an AWS Account.html 146 bytes
3. Jupyter Overview/3.1 Updated Link to Manage Environments with Conda.html 144 bytes
26. Big Data and Spark with Python/8.1 Amazon Guide to SSH with Mac.html 140 bytes
14. Introduction to Machine Learning/1.1 Slides for this section to view (please do not request edit access).html 138 bytes
25. Neural Nets and Deep Learning/1.1 Slides for Deep Learning Section.html 138 bytes
14. Introduction to Machine Learning/1.2 ISLR 6th Edition PDF (Machine Learning Textbook).html 123 bytes
26. Big Data and Spark with Python/7.1 Amazon Guide to Using PuTTY for Windows SSH.html 122 bytes
13. Data Capstone Project/5.1 Download all_banks pickle file from this link.html 117 bytes
9. Python for Data Visualization - Seaborn/1.1 Link to Seaborn Documentation (updated).html 87 bytes

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