[ FreeCourseWeb.com ] Udemy - The Complete Intro to Machine Learning with Python

Creation Time	Jan. 2, 2024, 12:42 p.m.
Last Access Time	Nov. 18, 2024, 10:20 a.m.
File Size	2.3 GB
Keywords	Complete Python with - Udemy Machine to Intro FreeCourseWeb Learning The com
Total Requests	25
Total Files	68
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~Get Your Files Here !/6. Introduction to ML/1. Goals and Types of Machine Learning.mp4 206.2 MB
~Get Your Files Here !/7. Linear Regression/3. Implementation Part 1.mp4 190.5 MB
~Get Your Files Here !/4. Pandas/2. Implementation.mp4 174.3 MB
~Get Your Files Here !/8. Logistic Regression/1. Logistic Regression Theory.mp4 132.5 MB
~Get Your Files Here !/9. Decision Trees/2. Splitting Algorithms.mp4 100.3 MB
~Get Your Files Here !/7. Linear Regression/1. Linear Regression Theory.mp4 96.7 MB
~Get Your Files Here !/5. Seaborn/3. Implementation.mp4 95.6 MB
~Get Your Files Here !/7. Linear Regression/2. Ordinary Least Squares (OLS).mp4 89.5 MB
~Get Your Files Here !/5. Seaborn/1. Distribution and Matrix Plots.mp4 89.3 MB
~Get Your Files Here !/10. Neural Networks/6. Backpropagation.mp4 89.2 MB
~Get Your Files Here !/4. Pandas/1. Pandas Basics.mp4 87.3 MB
~Get Your Files Here !/9. Decision Trees/4. Implementation.mp4 83.8 MB
~Get Your Files Here !/1. Welcome to the Course/1. Introduction.mp4 82.8 MB
~Get Your Files Here !/2. Python Review/3. Implementation.mp4 82.3 MB
~Get Your Files Here !/3. Numpy/2. Implementation.mp4 80.7 MB
~Get Your Files Here !/2. Python Review/1. Variable Types.mp4 75.0 MB
~Get Your Files Here !/2. Python Review/2. Lists and Functions.mp4 73.7 MB
~Get Your Files Here !/8. Logistic Regression/2. Logistic Regression Metrics and Implementation.mp4 68.4 MB
~Get Your Files Here !/5. Seaborn/2. Categorical Plots, Regression Plots, and GridsStyle.mp4 66.4 MB
~Get Your Files Here !/3. Numpy/1. Numpy Basics.mp4 59.4 MB
~Get Your Files Here !/9. Decision Trees/1. Terminology.mp4 55.4 MB
~Get Your Files Here !/10. Neural Networks/5. Gradient Descent.mp4 54.2 MB
~Get Your Files Here !/7. Linear Regression/4. Implementation Part 2.mp4 50.3 MB
~Get Your Files Here !/10. Neural Networks/7. Implementation.mp4 35.9 MB
~Get Your Files Here !/10. Neural Networks/4. Activation Functions.mp4 34.8 MB
~Get Your Files Here !/10. Neural Networks/3. What are neural networks.mp4 27.0 MB
~Get Your Files Here !/10. Neural Networks/2. Origins of Neural Networks.mp4 25.7 MB
~Get Your Files Here !/9. Decision Trees/3. Random Forests.mp4 22.1 MB
~Get Your Files Here !/10. Neural Networks/1. Intro to Neural Networks.mp4 10.6 MB
~Get Your Files Here !/5. Seaborn/3.1 Seaborn Implementation.ipynb 578.7 KB
~Get Your Files Here !/9. Decision Trees/4.1 Decision Tree Implementation.ipynb 354.8 KB
~Get Your Files Here !/7. Linear Regression/3.1 Linear Regression Implementation.ipynb 136.6 KB
~Get Your Files Here !/7. Linear Regression/4.1 Linear Regression Implementation.ipynb 136.6 KB
~Get Your Files Here !/7. Linear Regression/3. Implementation Part 1.srt 36.6 KB
~Get Your Files Here !/3. Numpy/2.1 Numpy Implementation.ipynb 26.5 KB
~Get Your Files Here !/6. Introduction to ML/1. Goals and Types of Machine Learning.srt 26.1 KB
~Get Your Files Here !/4. Pandas/2.1 Pandas Implementation.ipynb 25.6 KB
~Get Your Files Here !/2. Python Review/3. Implementation.srt 25.1 KB
~Get Your Files Here !/5. Seaborn/1. Distribution and Matrix Plots.srt 19.4 KB
~Get Your Files Here !/5. Seaborn/3. Implementation.srt 19.3 KB
~Get Your Files Here !/2. Python Review/3.1 Python Implementation.ipynb 19.1 KB
~Get Your Files Here !/4. Pandas/2. Implementation.srt 18.1 KB
~Get Your Files Here !/3. Numpy/2. Implementation.srt 17.5 KB
~Get Your Files Here !/7. Linear Regression/1. Linear Regression Theory.srt 16.4 KB
~Get Your Files Here !/7. Linear Regression/2. Ordinary Least Squares (OLS).srt 15.5 KB
~Get Your Files Here !/2. Python Review/2. Lists and Functions.srt 15.2 KB
~Get Your Files Here !/8. Logistic Regression/1. Logistic Regression Theory.srt 15.1 KB
~Get Your Files Here !/5. Seaborn/2. Categorical Plots, Regression Plots, and GridsStyle.srt 15.1 KB
~Get Your Files Here !/2. Python Review/1. Variable Types.srt 14.1 KB
~Get Your Files Here !/7. Linear Regression/4. Implementation Part 2.srt 13.3 KB
~Get Your Files Here !/1. Welcome to the Course/1. Introduction.srt 12.7 KB
~Get Your Files Here !/10. Neural Networks/6. Backpropagation.srt 12.2 KB
~Get Your Files Here !/3. Numpy/1. Numpy Basics.srt 11.7 KB
~Get Your Files Here !/9. Decision Trees/4. Implementation.srt 11.4 KB
~Get Your Files Here !/9. Decision Trees/2. Splitting Algorithms.srt 11.0 KB
~Get Your Files Here !/4. Pandas/1. Pandas Basics.srt 10.9 KB
~Get Your Files Here !/8. Logistic Regression/2. Logistic Regression Metrics and Implementation.srt 10.6 KB
~Get Your Files Here !/8. Logistic Regression/2.1 Logistic Regression Implementation.ipynb 8.5 KB
~Get Your Files Here !/10. Neural Networks/5. Gradient Descent.srt 7.9 KB
~Get Your Files Here !/10. Neural Networks/7. Implementation.srt 6.2 KB
~Get Your Files Here !/9. Decision Trees/1. Terminology.srt 5.8 KB
~Get Your Files Here !/10. Neural Networks/4. Activation Functions.srt 5.6 KB
~Get Your Files Here !/10. Neural Networks/3. What are neural networks.srt 4.6 KB
~Get Your Files Here !/10. Neural Networks/2. Origins of Neural Networks.srt 4.0 KB
~Get Your Files Here !/9. Decision Trees/3. Random Forests.srt 2.5 KB
~Get Your Files Here !/10. Neural Networks/1. Intro to Neural Networks.srt 2.0 KB
~Get Your Files Here !/Bonus Resources.txt 357 bytes
Get Bonus Downloads Here.url 183 bytes

[ FreeCourseWeb.com ] Udemy - The Complete Intro to Machine Learning with Python

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