[FreeCourseSite.com] Udemy - Machine Learning with SciKit-Learn with Python

Creation Time	Feb. 24, 2025, 7:54 p.m.
Last Access Time	May 11, 2026, 10:35 a.m.
File Size	3.6 GB
Keywords	SciKit-Learn FreeCourseSite Python with - Udemy Machine Learning com
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Total Files	110
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9. Cross Validation/13. Performance Analysis on the Test Set.mp4 119.4 MB
6. Pandas/6. Remove Operations.mp4 117.4 MB
9. Cross Validation/5. PCA Pipeline.mp4 117.2 MB
9. Cross Validation/1. Cross Validation.mp4 112.0 MB
5. Matlplotlib/3. Multiple Figures and Subplots.mp4 110.3 MB
8. Learning and Predicting/4. Persisting Models.mp4 105.2 MB
9. Cross Validation/3. K-Means Clustering Example.mp4 104.0 MB
6. Pandas/7. Pandas Arithmetic Operations.mp4 103.2 MB
6. Pandas/4. Data Structure in Pandas Continue.mp4 102.2 MB
8. Learning and Predicting/5. K-NN Algorithm with Example.mp4 101.4 MB
3. NumPy Array/6. Numpy Array Splicing.mp4 98.8 MB
3. NumPy Array/4. NumPy Array Operations Continue.mp4 93.0 MB
9. Cross Validation/15. Language Identifcation.mp4 92.9 MB
9. Cross Validation/9. Text Data Example.mp4 89.8 MB
3. NumPy Array/8. Stacking Together Different Arrays.mp4 85.5 MB
5. Matlplotlib/2. Understanding Various Functions of Pyplot.mp4 85.4 MB
9. Cross Validation/14. Parameter Tuning.mp4 85.1 MB
6. Pandas/3. Data Structure in Pandas.mp4 83.9 MB
6. Pandas/5. Pandas Column Select.mp4 79.6 MB
3. NumPy Array/3. NumPy Array Operations.mp4 78.5 MB
9. Cross Validation/11. Occurrences to Frequencies.mp4 77.1 MB
9. Cross Validation/4. Agglomeration.mp4 76.6 MB
10. Movie Review Analysis/1. Movie Review Screen Stream.mp4 67.8 MB
3. NumPy Array/7. NumPy Array Shpe.mp4 67.3 MB
4. Indexing Arrays of Arrays/3. NumPy Array Boolean.mp4 66.9 MB
8. Learning and Predicting/2. Digits Dataset Using Matplotlib.mp4 62.8 MB
4. Indexing Arrays of Arrays/1. NumPy Array Indexing.mp4 61.8 MB
9. Cross Validation/12. Classifier Training.mp4 61.0 MB
9. Cross Validation/8. Right Estimator.mp4 59.9 MB
2. NumPy/2. Features and Installation.mp4 56.8 MB
3. NumPy Array/10. Copies and Views.mp4 56.1 MB
3. NumPy Array/2. NumPy Array Attributes.mp4 56.0 MB
3. NumPy Array/1. NumPy Array Creation.mp4 55.2 MB
9. Cross Validation/6. Face Recognition.mp4 53.6 MB
7. Scikit Learn/3. Unsupervised Learning.mp4 53.3 MB
7. Scikit Learn/2. Supervised.mp4 52.5 MB
9. Cross Validation/2. Cross Validation Techniques.mp4 52.2 MB
9. Cross Validation/7. Face Recognition Output.mp4 52.1 MB
6. Pandas/8. Pandas Arithmetic Operations Continue.mp4 49.7 MB
7. Scikit Learn/1. Introduction to Scikit Learn.mp4 48.8 MB
9. Cross Validation/10. Extracting Features.mp4 46.9 MB
8. Learning and Predicting/1. Scikit Example Digits.mp4 45.2 MB
3. NumPy Array/9. Splitting one Array into Several Smaller ones.mp4 43.7 MB
7. Scikit Learn/4. Load Data Set.mp4 43.4 MB
6. Pandas/2. Intro to Pandas Continue.mp4 42.6 MB
8. Learning and Predicting/3. Understading Metrics of Predicted Digits Dataset.mp4 42.0 MB
10. Movie Review Analysis/2. Movie Review Screen Stream Continue.mp4 37.6 MB
6. Pandas/1. Intro to Pandas.mp4 37.5 MB
2. NumPy/1. NumPy Introduction.mp4 35.8 MB
3. NumPy Array/5. NumPy Array Unary Operations.mp4 35.5 MB
4. Indexing Arrays of Arrays/2. NumPy Array Indexing Continue.mp4 35.4 MB
1. Introduction/1. Introduction to Machine Learning.mp4 27.8 MB
5. Matlplotlib/1. Introduction to Matlplotlib.mp4 27.5 MB
1. Introduction/2. Advantages and Disadvantages of Machine Learning.mp4 26.9 MB
8. Learning and Predicting/5. K-NN Algorithm with Example.srt 20.3 KB
9. Cross Validation/5. PCA Pipeline.srt 19.2 KB
9. Cross Validation/15. Language Identifcation.srt 17.8 KB
8. Learning and Predicting/4. Persisting Models.srt 17.7 KB
9. Cross Validation/1. Cross Validation.srt 17.6 KB
6. Pandas/4. Data Structure in Pandas Continue.srt 16.4 KB
9. Cross Validation/9. Text Data Example.srt 16.2 KB
9. Cross Validation/13. Performance Analysis on the Test Set.srt 15.3 KB
3. NumPy Array/4. NumPy Array Operations Continue.srt 14.3 KB
3. NumPy Array/3. NumPy Array Operations.srt 14.3 KB
3. NumPy Array/6. Numpy Array Splicing.srt 14.2 KB
6. Pandas/7. Pandas Arithmetic Operations.srt 14.1 KB
5. Matlplotlib/3. Multiple Figures and Subplots.srt 13.9 KB
3. NumPy Array/7. NumPy Array Shpe.srt 13.8 KB
5. Matlplotlib/2. Understanding Various Functions of Pyplot.srt 13.8 KB
9. Cross Validation/14. Parameter Tuning.srt 13.4 KB
7. Scikit Learn/2. Supervised.srt 13.3 KB
6. Pandas/5. Pandas Column Select.srt 13.3 KB
9. Cross Validation/4. Agglomeration.srt 12.8 KB
9. Cross Validation/11. Occurrences to Frequencies.srt 12.8 KB
3. NumPy Array/1. NumPy Array Creation.srt 12.5 KB
4. Indexing Arrays of Arrays/3. NumPy Array Boolean.srt 12.5 KB
6. Pandas/3. Data Structure in Pandas.srt 12.1 KB
4. Indexing Arrays of Arrays/1. NumPy Array Indexing.srt 12.0 KB
7. Scikit Learn/1. Introduction to Scikit Learn.srt 12.0 KB
3. NumPy Array/8. Stacking Together Different Arrays.srt 11.4 KB
6. Pandas/6. Remove Operations.srt 11.3 KB
6. Pandas/2. Intro to Pandas Continue.srt 11.2 KB
10. Movie Review Analysis/1. Movie Review Screen Stream.srt 11.1 KB
1. Introduction/2. Advantages and Disadvantages of Machine Learning.srt 10.9 KB
7. Scikit Learn/3. Unsupervised Learning.srt 10.7 KB
6. Pandas/1. Intro to Pandas.srt 10.5 KB
8. Learning and Predicting/1. Scikit Example Digits.srt 10.3 KB
3. NumPy Array/2. NumPy Array Attributes.srt 9.8 KB
8. Learning and Predicting/2. Digits Dataset Using Matplotlib.srt 9.6 KB
2. NumPy/1. NumPy Introduction.srt 9.6 KB
9. Cross Validation/10. Extracting Features.srt 9.4 KB
9. Cross Validation/8. Right Estimator.srt 9.0 KB
9. Cross Validation/2. Cross Validation Techniques.srt 8.9 KB
6. Pandas/8. Pandas Arithmetic Operations Continue.srt 8.6 KB
9. Cross Validation/6. Face Recognition.srt 8.6 KB
2. NumPy/2. Features and Installation.srt 8.5 KB
9. Cross Validation/12. Classifier Training.srt 8.1 KB
3. NumPy Array/9. Splitting one Array into Several Smaller ones.srt 8.1 KB
8. Learning and Predicting/3. Understading Metrics of Predicted Digits Dataset.srt 8.0 KB
7. Scikit Learn/4. Load Data Set.srt 7.9 KB
3. NumPy Array/10. Copies and Views.srt 7.6 KB
1. Introduction/1. Introduction to Machine Learning.srt 7.5 KB
3. NumPy Array/5. NumPy Array Unary Operations.srt 6.8 KB
4. Indexing Arrays of Arrays/2. NumPy Array Indexing Continue.srt 6.2 KB
5. Matlplotlib/1. Introduction to Matlplotlib.srt 5.9 KB
10. Movie Review Analysis/2. Movie Review Screen Stream Continue.srt 5.3 KB
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