[GigaCourse.Com] Udemy - Machine Learning with SciKit-Learn with Python

磁力链接/BT种子名称

[GigaCourse.Com] Udemy - Machine Learning with SciKit-Learn with Python

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种子哈希：0e5553ca292dbe3b8fdf0d7ce186873f79a8d802
文件大小： 3.59G
已经下载：2476次
下载速度：极快
收录时间：2022-02-13
最近下载：2025-05-31

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文件列表

  • 9. Cross Validation/13. Performance Analysis on the Test Set.mp4 125.2 MB
  • 6. Pandas/6. Remove Operations.mp4 123.1 MB
  • 9. Cross Validation/5. PCA Pipeline.mp4 122.9 MB
  • 9. Cross Validation/1. Cross Validation.mp4 117.4 MB
  • 5. Matlplotlib/3. Multiple Figures and Subplots.mp4 115.7 MB
  • 8. Learning and Predicting/4. Persisting Models.mp4 110.3 MB
  • 9. Cross Validation/3. K-Means Clustering Example.mp4 109.0 MB
  • 6. Pandas/7. Pandas Arithmetic Operations.mp4 108.2 MB
  • 6. Pandas/4. Data Structure in Pandas Continue.mp4 107.1 MB
  • 8. Learning and Predicting/5. K-NN Algorithm with Example.mp4 106.3 MB
  • 3. NumPy Array/6. Numpy Array Splicing.mp4 103.6 MB
  • 3. NumPy Array/4. NumPy Array Operations Continue.mp4 97.5 MB
  • 9. Cross Validation/15. Language Identifcation.mp4 97.4 MB
  • 9. Cross Validation/9. Text Data Example.mp4 94.2 MB
  • 3. NumPy Array/8. Stacking Together Different Arrays.mp4 89.7 MB
  • 5. Matlplotlib/2. Understanding Various Functions of Pyplot.mp4 89.6 MB
  • 9. Cross Validation/14. Parameter Tuning.mp4 89.3 MB
  • 6. Pandas/3. Data Structure in Pandas.mp4 88.0 MB
  • 6. Pandas/5. Pandas Column Select.mp4 83.4 MB
  • 3. NumPy Array/3. NumPy Array Operations.mp4 82.3 MB
  • 9. Cross Validation/11. Occurrences to Frequencies.mp4 80.8 MB
  • 9. Cross Validation/4. Agglomeration.mp4 80.3 MB
  • 10. Movie Review Analysis/1. Movie Review Screen Stream.mp4 71.1 MB
  • 3. NumPy Array/7. NumPy Array Shpe.mp4 70.6 MB
  • 4. Indexing Arrays of Arrays/3. NumPy Array Boolean.mp4 70.1 MB
  • 8. Learning and Predicting/2. Digits Dataset Using Matplotlib.mp4 65.8 MB
  • 4. Indexing Arrays of Arrays/1. NumPy Array Indexing.mp4 64.8 MB
  • 9. Cross Validation/12. Classifier Training.mp4 63.9 MB
  • 9. Cross Validation/8. Right Estimator.mp4 62.8 MB
  • 2. NumPy/2. Features and Installation.mp4 59.6 MB
  • 3. NumPy Array/10. Copies and Views.mp4 58.8 MB
  • 3. NumPy Array/2. NumPy Array Attributes.mp4 58.7 MB
  • 3. NumPy Array/1. NumPy Array Creation.mp4 57.9 MB
  • 9. Cross Validation/6. Face Recognition.mp4 56.2 MB
  • 7. Scikit Learn/3. Unsupervised Learning.mp4 55.9 MB
  • 7. Scikit Learn/2. Supervised.mp4 55.1 MB
  • 9. Cross Validation/2. Cross Validation Techniques.mp4 54.7 MB
  • 9. Cross Validation/7. Face Recognition Output.mp4 54.7 MB
  • 6. Pandas/8. Pandas Arithmetic Operations Continue.mp4 52.1 MB
  • 7. Scikit Learn/1. Introduction to Scikit Learn.mp4 51.1 MB
  • 9. Cross Validation/10. Extracting Features.mp4 49.2 MB
  • 8. Learning and Predicting/1. Scikit Example Digits.mp4 47.4 MB
  • 3. NumPy Array/9. Splitting one Array into Several Smaller ones.mp4 45.9 MB
  • 7. Scikit Learn/4. Load Data Set.mp4 45.6 MB
  • 6. Pandas/2. Intro to Pandas Continue.mp4 44.6 MB
  • 8. Learning and Predicting/3. Understading Metrics of Predicted Digits Dataset.mp4 44.0 MB
  • 10. Movie Review Analysis/2. Movie Review Screen Stream Continue.mp4 39.5 MB
  • 6. Pandas/1. Intro to Pandas.mp4 39.3 MB
  • 2. NumPy/1. NumPy Introduction.mp4 37.5 MB
  • 3. NumPy Array/5. NumPy Array Unary Operations.mp4 37.3 MB
  • 4. Indexing Arrays of Arrays/2. NumPy Array Indexing Continue.mp4 37.2 MB
  • 1. Introduction/1. Introduction to Machine Learning.mp4 29.2 MB
  • 5. Matlplotlib/1. Introduction to Matlplotlib.mp4 28.8 MB
  • 1. Introduction/2. Advantages and Disadvantages of Machine Learning.mp4 28.3 MB
  • 8. Learning and Predicting/5. K-NN Algorithm with Example.srt 20.7 kB
  • 9. Cross Validation/5. PCA Pipeline.srt 19.6 kB
  • 9. Cross Validation/15. Language Identifcation.srt 18.2 kB
  • 8. Learning and Predicting/4. Persisting Models.srt 18.1 kB
  • 9. Cross Validation/1. Cross Validation.srt 18.0 kB
  • 6. Pandas/4. Data Structure in Pandas Continue.srt 16.8 kB
  • 9. Cross Validation/9. Text Data Example.srt 16.6 kB
  • 9. Cross Validation/13. Performance Analysis on the Test Set.srt 15.7 kB
  • 3. NumPy Array/4. NumPy Array Operations Continue.srt 14.6 kB
  • 3. NumPy Array/3. NumPy Array Operations.srt 14.6 kB
  • 3. NumPy Array/6. Numpy Array Splicing.srt 14.5 kB
  • 6. Pandas/7. Pandas Arithmetic Operations.srt 14.4 kB
  • 5. Matlplotlib/3. Multiple Figures and Subplots.srt 14.3 kB
  • 3. NumPy Array/7. NumPy Array Shpe.srt 14.2 kB
  • 5. Matlplotlib/2. Understanding Various Functions of Pyplot.srt 14.1 kB
  • 9. Cross Validation/14. Parameter Tuning.srt 13.7 kB
  • 7. Scikit Learn/2. Supervised.srt 13.6 kB
  • 6. Pandas/5. Pandas Column Select.srt 13.6 kB
  • 9. Cross Validation/4. Agglomeration.srt 13.1 kB
  • 9. Cross Validation/11. Occurrences to Frequencies.srt 13.1 kB
  • 3. NumPy Array/1. NumPy Array Creation.srt 12.8 kB
  • 4. Indexing Arrays of Arrays/3. NumPy Array Boolean.srt 12.8 kB
  • 6. Pandas/3. Data Structure in Pandas.srt 12.4 kB
  • 4. Indexing Arrays of Arrays/1. NumPy Array Indexing.srt 12.3 kB
  • 7. Scikit Learn/1. Introduction to Scikit Learn.srt 12.3 kB
  • 3. NumPy Array/8. Stacking Together Different Arrays.srt 11.7 kB
  • 6. Pandas/6. Remove Operations.srt 11.6 kB
  • 6. Pandas/2. Intro to Pandas Continue.srt 11.4 kB
  • 10. Movie Review Analysis/1. Movie Review Screen Stream.srt 11.4 kB
  • 1. Introduction/2. Advantages and Disadvantages of Machine Learning.srt 11.2 kB
  • 7. Scikit Learn/3. Unsupervised Learning.srt 10.9 kB
  • 6. Pandas/1. Intro to Pandas.srt 10.7 kB
  • 8. Learning and Predicting/1. Scikit Example Digits.srt 10.5 kB
  • 3. NumPy Array/2. NumPy Array Attributes.srt 10.1 kB
  • 8. Learning and Predicting/2. Digits Dataset Using Matplotlib.srt 9.8 kB
  • 2. NumPy/1. NumPy Introduction.srt 9.8 kB
  • 9. Cross Validation/10. Extracting Features.srt 9.6 kB
  • 9. Cross Validation/8. Right Estimator.srt 9.2 kB
  • 9. Cross Validation/2. Cross Validation Techniques.srt 9.1 kB
  • 6. Pandas/8. Pandas Arithmetic Operations Continue.srt 8.8 kB
  • 9. Cross Validation/6. Face Recognition.srt 8.8 kB
  • 2. NumPy/2. Features and Installation.srt 8.7 kB
  • 9. Cross Validation/12. Classifier Training.srt 8.3 kB
  • 3. NumPy Array/9. Splitting one Array into Several Smaller ones.srt 8.2 kB
  • 8. Learning and Predicting/3. Understading Metrics of Predicted Digits Dataset.srt 8.2 kB
  • 7. Scikit Learn/4. Load Data Set.srt 8.1 kB
  • 3. NumPy Array/10. Copies and Views.srt 7.8 kB
  • 1. Introduction/1. Introduction to Machine Learning.srt 7.7 kB
  • 3. NumPy Array/5. NumPy Array Unary Operations.srt 7.0 kB
  • 4. Indexing Arrays of Arrays/2. NumPy Array Indexing Continue.srt 6.3 kB
  • 5. Matlplotlib/1. Introduction to Matlplotlib.srt 6.1 kB
  • 10. Movie Review Analysis/2. Movie Review Screen Stream Continue.srt 5.4 kB
  • 0. Websites you may like/[CourseClub.Me].url 122 Bytes
  • 1. Introduction/[CourseClub.Me].url 122 Bytes
  • 5. Matlplotlib/[CourseClub.Me].url 122 Bytes
  • 8. Learning and Predicting/[CourseClub.Me].url 122 Bytes
  • [CourseClub.Me].url 122 Bytes
  • 0. Websites you may like/[GigaCourse.Com].url 49 Bytes
  • 1. Introduction/[GigaCourse.Com].url 49 Bytes
  • 5. Matlplotlib/[GigaCourse.Com].url 49 Bytes
  • 8. Learning and Predicting/[GigaCourse.Com].url 49 Bytes
  • [GigaCourse.Com].url 49 Bytes

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