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Download /Machine Learning Crash Course for Beginners using Python [UdemyLibrary.com]12. Hands-on Machine Learning Project Using Scikit-Learn/1. Principal Component Analysis (PCA) with Python.srt

Machine Learning Crash Course for Beginners using Python UdemyLibrary com

12 Hands on Machine Learning Project Using Scikit Learn Principal Component Analysis PCA with Python srt

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Machine Learning Crash Course for Beginners using Python [UdemyLibrary.com]

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3.5 GB

Total Files

106

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570B2DC73326F26BB7F968F80431F5BB595020EF

12. Hands-on Machine Learning Project Using Scikit-Learn/1. Principal Component Analysis (PCA) with Python.srt

12.3 KB

12. Hands-on Machine Learning Project Using Scikit-Learn/1. Principal Component Analysis (PCA) with Python.mp4

80.0 MB

12. Hands-on Machine Learning Project Using Scikit-Learn/3. Cross-validation with Python.srt

14.9 KB

12. Hands-on Machine Learning Project Using Scikit-Learn/4. Face Recognition Project with Python.srt

34.7 KB

12. Hands-on Machine Learning Project Using Scikit-Learn/3. Cross-validation with Python.mp4

96.1 MB

/12. Hands-on Machine Learning Project Using Scikit-Learn/4. Face Recognition Project with Python.mp4

213.8 MB

12. Hands-on Machine Learning Project Using Scikit-Learn/5. THANK YOU Bonus Video.srt

2.6 KB

12. Hands-on Machine Learning Project Using Scikit-Learn/5. THANK YOU Bonus Video.mp4

31.2 MB

12. Hands-on Machine Learning Project Using Scikit-Learn/2. Pipeline in Scikit-Learn for Machine Learning Project.srt

12.6 KB

12. Hands-on Machine Learning Project Using Scikit-Learn/2. Pipeline in Scikit-Learn for Machine Learning Project.mp4

76.7 MB

10. Dimensionality Reduction/2. The Principal Component Analysis (PCA).srt

11.5 KB

10. Dimensionality Reduction/2. The Principal Component Analysis (PCA).mp4

54.7 MB

4. Machine Learning Methods/6. Classification Practice with Python.srt

6.9 KB

4. Machine Learning Methods/8. Clustering Practice with Python.srt

8.1 KB

4. Machine Learning Methods/2. Features Practice with Python.srt

19.3 KB

 

Showing first 15 files of 106 total files


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