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Title: Udemy - Machine Learning with SciKitGroup: NOGRPSource: Udemy
Info Hash
99024B59BDC42F92CF55045B43FB4B3562300360
Source
Unverified
Total Size
3.59 GB
Total Files
100
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
0. Websites you may like/[CourseClub.ME].url122 B
0. Websites you may like/[FCS Forum].url133 B
0. Websites you may like/[FreeCourseSite.com].url127 B
0. Websites you may like/[GigaCourse.Com].url49 B
1. Introduction/1. Introduction to Machine Learning.mp427.81 MB
1. Introduction/1. Introduction to Machine Learning.srt7.48 KB
1. Introduction/2. Advantages and Disadvantages of Machine Learning.mp426.95 MB
1. Introduction/2. Advantages and Disadvantages of Machine Learning.srt10.9 KB
10. Movie Review Analysis/1. Movie Review Screen Stream.mp467.84 MB
10. Movie Review Analysis/1. Movie Review Screen Stream.srt11.14 KB
10. Movie Review Analysis/2. Movie Review Screen Stream Continue.mp437.62 MB
10. Movie Review Analysis/2. Movie Review Screen Stream Continue.srt5.27 KB
2. NumPy/1. NumPy Introduction.mp435.77 MB
2. NumPy/1. NumPy Introduction.srt9.58 KB
2. NumPy/2. Features and Installation.mp456.83 MB
2. NumPy/2. Features and Installation.srt8.47 KB
3. NumPy Array/1. NumPy Array Creation.mp455.2 MB
3. NumPy Array/1. NumPy Array Creation.srt12.49 KB
3. NumPy Array/10. Copies and Views.mp456.09 MB
3. NumPy Array/10. Copies and Views.srt7.57 KB
3. NumPy Array/2. NumPy Array Attributes.mp456.02 MB
3. NumPy Array/2. NumPy Array Attributes.srt9.82 KB
3. NumPy Array/3. NumPy Array Operations.mp478.5 MB
3. NumPy Array/3. NumPy Array Operations.srt14.29 KB
3. NumPy Array/4. NumPy Array Operations Continue.mp493 MB
3. NumPy Array/4. NumPy Array Operations Continue.srt14.3 KB
3. NumPy Array/5. NumPy Array Unary Operations.mp435.53 MB
3. NumPy Array/5. NumPy Array Unary Operations.srt6.8 KB
3. NumPy Array/6. Numpy Array Splicing.mp498.85 MB
3. NumPy Array/6. Numpy Array Splicing.srt14.18 KB
3. NumPy Array/7. NumPy Array Shpe.mp467.32 MB
3. NumPy Array/7. NumPy Array Shpe.srt13.84 KB
3. NumPy Array/8. Stacking Together Different Arrays.mp485.55 MB
3. NumPy Array/8. Stacking Together Different Arrays.srt11.44 KB
3. NumPy Array/9. Splitting one Array into Several Smaller ones.mp443.73 MB
3. NumPy Array/9. Splitting one Array into Several Smaller ones.srt8.05 KB
4. Indexing Arrays of Arrays/1. NumPy Array Indexing.mp461.75 MB
4. Indexing Arrays of Arrays/1. NumPy Array Indexing.srt12.04 KB
4. Indexing Arrays of Arrays/2. NumPy Array Indexing Continue.mp435.43 MB
4. Indexing Arrays of Arrays/2. NumPy Array Indexing Continue.srt6.15 KB
4. Indexing Arrays of Arrays/3. NumPy Array Boolean.mp466.86 MB
4. Indexing Arrays of Arrays/3. NumPy Array Boolean.srt12.47 KB
5. Matlplotlib/1. Introduction to Matlplotlib.mp427.49 MB
5. Matlplotlib/1. Introduction to Matlplotlib.srt5.93 KB
5. Matlplotlib/2. Understanding Various Functions of Pyplot.mp485.44 MB
5. Matlplotlib/2. Understanding Various Functions of Pyplot.srt13.78 KB
5. Matlplotlib/3. Multiple Figures and Subplots.mp4110.33 MB
5. Matlplotlib/3. Multiple Figures and Subplots.srt13.93 KB
6. Pandas/1. Intro to Pandas.mp437.52 MB
6. Pandas/1. Intro to Pandas.srt10.5 KB
6. Pandas/2. Intro to Pandas Continue.mp442.55 MB
6. Pandas/2. Intro to Pandas Continue.srt11.18 KB
6. Pandas/3. Data Structure in Pandas.mp483.95 MB
6. Pandas/3. Data Structure in Pandas.srt12.14 KB
6. Pandas/4. Data Structure in Pandas Continue.mp4102.17 MB
6. Pandas/4. Data Structure in Pandas Continue.srt16.42 KB
6. Pandas/5. Pandas Column Select.mp479.57 MB
6. Pandas/5. Pandas Column Select.srt13.25 KB
6. Pandas/6. Remove Operations.mp4117.42 MB
6. Pandas/6. Remove Operations.srt11.32 KB
6. Pandas/7. Pandas Arithmetic Operations.mp4103.23 MB
6. Pandas/7. Pandas Arithmetic Operations.srt14.05 KB
6. Pandas/8. Pandas Arithmetic Operations Continue.mp449.67 MB
6. Pandas/8. Pandas Arithmetic Operations Continue.srt8.61 KB
7. Scikit Learn/1. Introduction to Scikit Learn.mp448.75 MB
7. Scikit Learn/1. Introduction to Scikit Learn.srt11.99 KB
7. Scikit Learn/2. Supervised.mp452.55 MB
7. Scikit Learn/2. Supervised.srt13.32 KB
7. Scikit Learn/3. Unsupervised Learning.mp453.29 MB
7. Scikit Learn/3. Unsupervised Learning.srt10.69 KB
7. Scikit Learn/4. Load Data Set.mp443.44 MB
7. Scikit Learn/4. Load Data Set.srt7.93 KB
8. Learning and Predicting/1. Scikit Example Digits.mp445.2 MB
8. Learning and Predicting/1. Scikit Example Digits.srt10.29 KB
8. Learning and Predicting/2. Digits Dataset Using Matplotlib.mp462.8 MB
8. Learning and Predicting/2. Digits Dataset Using Matplotlib.srt9.61 KB
8. Learning and Predicting/3. Understading Metrics of Predicted Digits Dataset.mp441.99 MB
8. Learning and Predicting/3. Understading Metrics of Predicted Digits Dataset.srt8.03 KB
8. Learning and Predicting/4. Persisting Models.mp4105.18 MB
8. Learning and Predicting/4. Persisting Models.srt17.67 KB
8. Learning and Predicting/5. K-NN Algorithm with Example.mp4101.37 MB
8. Learning and Predicting/5. K-NN Algorithm with Example.srt20.26 KB
9. Cross Validation/1. Cross Validation.mp4112.01 MB
9. Cross Validation/1. Cross Validation.srt17.6 KB
9. Cross Validation/10. Extracting Features.mp446.9 MB
9. Cross Validation/10. Extracting Features.srt9.4 KB
9. Cross Validation/11. Occurrences to Frequencies.mp477.07 MB
9. Cross Validation/11. Occurrences to Frequencies.srt12.77 KB
9. Cross Validation/12. Classifier Training.mp460.97 MB
9. Cross Validation/12. Classifier Training.srt8.11 KB
9. Cross Validation/13. Performance Analysis on the Test Set.mp4119.41 MB
9. Cross Validation/13. Performance Analysis on the Test Set.srt15.3 KB
9. Cross Validation/14. Parameter Tuning.mp485.14 MB
9. Cross Validation/14. Parameter Tuning.srt13.41 KB
9. Cross Validation/15. Language Identifcation.mp492.92 MB
9. Cross Validation/15. Language Identifcation.srt17.81 KB
9. Cross Validation/2. Cross Validation Techniques.mp452.18 MB
9. Cross Validation/2. Cross Validation Techniques.srt8.87 KB
9. Cross Validation/3. K-Means Clustering Example.mp4103.98 MB
9. Cross Validation/4. Agglomeration.mp476.56 MB

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