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

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2025-10-28 14:12:223.59 GB1160E5553CA292DBE3B8FDF0D7CE186873F79A8D802
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    • Files
    1. 0. Websites you may like/[CourseClub.Me].url122 B
    2. 0. Websites you may like/[GigaCourse.Com].url49 B
    3. 1. Introduction/1. Introduction to Machine Learning.mp427.81 MB
    4. 1. Introduction/1. Introduction to Machine Learning.srt7.48 KB
    5. 1. Introduction/2. Advantages and Disadvantages of Machine Learning.mp426.95 MB
    6. 1. Introduction/2. Advantages and Disadvantages of Machine Learning.srt10.90 KB
    7. 1. Introduction/[CourseClub.Me].url122 B
    8. 1. Introduction/[GigaCourse.Com].url49 B
    9. 10. Movie Review Analysis/1. Movie Review Screen Stream.mp467.84 MB
    10. 10. Movie Review Analysis/1. Movie Review Screen Stream.srt11.14 KB
    11. 10. Movie Review Analysis/2. Movie Review Screen Stream Continue.mp437.62 MB
    12. 10. Movie Review Analysis/2. Movie Review Screen Stream Continue.srt5.27 KB
    13. 2. NumPy/1. NumPy Introduction.mp435.77 MB
    14. 2. NumPy/1. NumPy Introduction.srt9.58 KB
    15. 2. NumPy/2. Features and Installation.mp456.83 MB
    16. 2. NumPy/2. Features and Installation.srt8.47 KB
    17. 3. NumPy Array/1. NumPy Array Creation.mp455.20 MB
    18. 3. NumPy Array/1. NumPy Array Creation.srt12.49 KB
    19. 3. NumPy Array/10. Copies and Views.mp456.09 MB
    20. 3. NumPy Array/10. Copies and Views.srt7.57 KB
    21. 3. NumPy Array/2. NumPy Array Attributes.mp456.02 MB
    22. 3. NumPy Array/2. NumPy Array Attributes.srt9.82 KB
    23. 3. NumPy Array/3. NumPy Array Operations.mp478.50 MB
    24. 3. NumPy Array/3. NumPy Array Operations.srt14.29 KB
    25. 3. NumPy Array/4. NumPy Array Operations Continue.mp493.00 MB
    26. 3. NumPy Array/4. NumPy Array Operations Continue.srt14.30 KB
    27. 3. NumPy Array/5. NumPy Array Unary Operations.mp435.53 MB
    28. 3. NumPy Array/5. NumPy Array Unary Operations.srt6.80 KB
    29. 3. NumPy Array/6. Numpy Array Splicing.mp498.85 MB
    30. 3. NumPy Array/6. Numpy Array Splicing.srt14.18 KB
    31. 3. NumPy Array/7. NumPy Array Shpe.mp467.32 MB
    32. 3. NumPy Array/7. NumPy Array Shpe.srt13.84 KB
    33. 3. NumPy Array/8. Stacking Together Different Arrays.mp485.55 MB
    34. 3. NumPy Array/8. Stacking Together Different Arrays.srt11.44 KB
    35. 3. NumPy Array/9. Splitting one Array into Several Smaller ones.mp443.73 MB
    36. 3. NumPy Array/9. Splitting one Array into Several Smaller ones.srt8.05 KB
    37. 4. Indexing Arrays of Arrays/1. NumPy Array Indexing.mp461.75 MB
    38. 4. Indexing Arrays of Arrays/1. NumPy Array Indexing.srt12.04 KB
    39. 4. Indexing Arrays of Arrays/2. NumPy Array Indexing Continue.mp435.43 MB
    40. 4. Indexing Arrays of Arrays/2. NumPy Array Indexing Continue.srt6.15 KB
    41. 4. Indexing Arrays of Arrays/3. NumPy Array Boolean.mp466.86 MB
    42. 4. Indexing Arrays of Arrays/3. NumPy Array Boolean.srt12.47 KB
    43. 5. Matlplotlib/1. Introduction to Matlplotlib.mp427.49 MB
    44. 5. Matlplotlib/1. Introduction to Matlplotlib.srt5.93 KB
    45. 5. Matlplotlib/2. Understanding Various Functions of Pyplot.mp485.44 MB
    46. 5. Matlplotlib/2. Understanding Various Functions of Pyplot.srt13.78 KB
    47. 5. Matlplotlib/3. Multiple Figures and Subplots.mp4110.33 MB
    48. 5. Matlplotlib/3. Multiple Figures and Subplots.srt13.93 KB
    49. 5. Matlplotlib/[CourseClub.Me].url122 B
    50. 5. Matlplotlib/[GigaCourse.Com].url49 B
    51. 6. Pandas/1. Intro to Pandas.mp437.52 MB
    52. 6. Pandas/1. Intro to Pandas.srt10.50 KB
    53. 6. Pandas/2. Intro to Pandas Continue.mp442.55 MB
    54. 6. Pandas/2. Intro to Pandas Continue.srt11.18 KB
    55. 6. Pandas/3. Data Structure in Pandas.mp483.95 MB
    56. 6. Pandas/3. Data Structure in Pandas.srt12.14 KB
    57. 6. Pandas/4. Data Structure in Pandas Continue.mp4102.17 MB
    58. 6. Pandas/4. Data Structure in Pandas Continue.srt16.42 KB
    59. 6. Pandas/5. Pandas Column Select.mp479.57 MB
    60. 6. Pandas/5. Pandas Column Select.srt13.25 KB
    61. 6. Pandas/6. Remove Operations.mp4117.42 MB
    62. 6. Pandas/6. Remove Operations.srt11.32 KB
    63. 6. Pandas/7. Pandas Arithmetic Operations.mp4103.23 MB
    64. 6. Pandas/7. Pandas Arithmetic Operations.srt14.05 KB
    65. 6. Pandas/8. Pandas Arithmetic Operations Continue.mp449.67 MB
    66. 6. Pandas/8. Pandas Arithmetic Operations Continue.srt8.61 KB
    67. 7. Scikit Learn/1. Introduction to Scikit Learn.mp448.75 MB
    68. 7. Scikit Learn/1. Introduction to Scikit Learn.srt11.99 KB
    69. 7. Scikit Learn/2. Supervised.mp452.55 MB
    70. 7. Scikit Learn/2. Supervised.srt13.32 KB
    71. 7. Scikit Learn/3. Unsupervised Learning.mp453.29 MB
    72. 7. Scikit Learn/3. Unsupervised Learning.srt10.69 KB
    73. 7. Scikit Learn/4. Load Data Set.mp443.44 MB
    74. 7. Scikit Learn/4. Load Data Set.srt7.93 KB
    75. 8. Learning and Predicting/1. Scikit Example Digits.mp445.20 MB
    76. 8. Learning and Predicting/1. Scikit Example Digits.srt10.29 KB
    77. 8. Learning and Predicting/2. Digits Dataset Using Matplotlib.mp462.80 MB
    78. 8. Learning and Predicting/2. Digits Dataset Using Matplotlib.srt9.61 KB
    79. 8. Learning and Predicting/3. Understading Metrics of Predicted Digits Dataset.mp441.99 MB
    80. 8. Learning and Predicting/3. Understading Metrics of Predicted Digits Dataset.srt8.03 KB
    81. 8. Learning and Predicting/4. Persisting Models.mp4105.18 MB
    82. 8. Learning and Predicting/4. Persisting Models.srt17.67 KB
    83. 8. Learning and Predicting/5. K-NN Algorithm with Example.mp4101.37 MB
    84. 8. Learning and Predicting/5. K-NN Algorithm with Example.srt20.26 KB
    85. 8. Learning and Predicting/[CourseClub.Me].url122 B
    86. 8. Learning and Predicting/[GigaCourse.Com].url49 B
    87. 9. Cross Validation/1. Cross Validation.mp4112.01 MB
    88. 9. Cross Validation/1. Cross Validation.srt17.60 KB
    89. 9. Cross Validation/10. Extracting Features.mp446.90 MB
    90. 9. Cross Validation/10. Extracting Features.srt9.40 KB
    91. 9. Cross Validation/11. Occurrences to Frequencies.mp477.07 MB
    92. 9. Cross Validation/11. Occurrences to Frequencies.srt12.77 KB
    93. 9. Cross Validation/12. Classifier Training.mp460.97 MB
    94. 9. Cross Validation/12. Classifier Training.srt8.11 KB
    95. 9. Cross Validation/13. Performance Analysis on the Test Set.mp4119.41 MB
    96. 9. Cross Validation/13. Performance Analysis on the Test Set.srt15.30 KB
    97. 9. Cross Validation/14. Parameter Tuning.mp485.14 MB
    98. 9. Cross Validation/14. Parameter Tuning.srt13.41 KB
    99. 9. Cross Validation/15. Language Identifcation.mp492.92 MB
    100. 9. Cross Validation/15. Language Identifcation.srt17.81 KB
    101. 9. Cross Validation/2. Cross Validation Techniques.mp452.18 MB
    102. 9. Cross Validation/2. Cross Validation Techniques.srt8.87 KB
    103. 9. Cross Validation/3. K-Means Clustering Example.mp4103.98 MB
    104. 9. Cross Validation/4. Agglomeration.mp476.56 MB
    105. 9. Cross Validation/4. Agglomeration.srt12.79 KB
    106. 9. Cross Validation/5. PCA Pipeline.mp4117.16 MB
    107. 9. Cross Validation/5. PCA Pipeline.srt19.16 KB
    108. 9. Cross Validation/6. Face Recognition.mp453.62 MB
    109. 9. Cross Validation/6. Face Recognition.srt8.57 KB
    110. 9. Cross Validation/7. Face Recognition Output.mp452.15 MB
    111. 9. Cross Validation/8. Right Estimator.mp459.87 MB
    112. 9. Cross Validation/8. Right Estimator.srt8.98 KB
    113. 9. Cross Validation/9. Text Data Example.mp489.82 MB
    114. 9. Cross Validation/9. Text Data Example.srt16.22 KB
    115. [CourseClub.Me].url122 B
    116. [GigaCourse.Com].url49 B
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