Machine Learning Mastery - From Data to Advanced Classifiers --> [ DevCourseWeb ]

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Torrent File Content (62 files)

[ DevCourseWeb.com ] Udemy - Machine Learning Mastery - From Data to Advanced Classifiers
Get Bonus Downloads Here.url -

182 bytes

~Get Your Files Here !
1. Introduction/1. Introduction.mp4 -

28.07 MB

1. Introduction/2. Installing Jupyter.mp4 -

36.77 MB

1. Introduction/3. How to download Python files.mp4 -

33.32 MB

2. Course Contents/1. Import Data.mp4 -

105.02 MB

2. Course Contents/1.1 File 1.ipynb -

11.58 KB

2. Course Contents/10. 10 displaying the distribution of the data using a box plot.mp4 -

95.54 MB

2. Course Contents/10.1 File 10.ipynb -

431.96 KB

2. Course Contents/11. 11 displaying the distribution of the data by the different categories.mp4 -

133.86 MB

2. Course Contents/11.1 File 11.ipynb -

535.08 KB

2. Course Contents/12. 12 visualize the relationship between two variables with jointplot.mp4 -

135.15 MB

2. Course Contents/12.1 File 12.ipynb -

955.76 KB

2. Course Contents/13. 13 calculating the correlation matrix of the DataFrame.mp4 -

84.93 MB

2. Course Contents/13.1 File 13.ipynb -

969.44 KB

2. Course Contents/14. 14 creating a mask using NumPy.mp4 -

57.18 MB

2. Course Contents/14.1 File 14.ipynb -

972.22 KB

2. Course Contents/15. 15 creating a color map using seaborn.mp4 -

33.63 MB

2. Course Contents/15.1 File 15.ipynb -

978.05 KB

2. Course Contents/16. 16 creating a heatmap using seaborn.mp4 -

88.84 MB

2. Course Contents/16.1 File 16.ipynb -

1.02 MB

2. Course Contents/17. 17 calculating the number of outliers.mp4 -

218.25 MB

2. Course Contents/17.1 File 17.ipynb -

1.05 MB

2. Course Contents/18. 18 standardizing features.mp4 -

58.84 MB

2. Course Contents/18.1 File 18.ipynb -

71.84 KB

2. Course Contents/19. 19 Hypothesis testing.mp4 -

34.92 MB

2. Course Contents/19.1 File 19.ipynb -

75.54 KB

2. Course Contents/2. 2 visualizing missing data in a dataset.mp4 -

34.28 MB

2. Course Contents/2.1 File 2.ipynb -

90.77 KB

2. Course Contents/20. 20 Normalization.mp4 -

131.91 MB

2. Course Contents/20.1 File 20.ipynb -

112.41 KB

2. Course Contents/21. 21 split the data into training and testing sets.mp4 -

147.05 MB

2. Course Contents/21.1 File 21.ipynb -

141.83 KB

2. Course Contents/22. 22 Start traning SVC and Learn Hyperparameters.mp4 -

62.61 MB

2. Course Contents/22.1 File 22.ipynb -

144.52 KB

2. Course Contents/23. 23 find the best hyperparameter.mp4 -

100.41 MB

2. Course Contents/23.1 File 23.ipynb -

147.56 KB

2. Course Contents/24. 24 make predictions on the test data and avaluate the model.mp4 -

134.81 MB

2. Course Contents/24.1 File 24.ipynb -

155.38 KB

2. Course Contents/25. 25 Train RandomForestClassifier.mp4 -

101.82 MB

2. Course Contents/25.1 File 25.ipynb -

160.21 KB

2. Course Contents/26. 26 Train XGBClassifier.mp4 -

63.7 MB

2. Course Contents/26.1 File 26.ipynb -

165.72 KB

2. Course Contents/27. 27 Train KNeighborsClassifier.mp4 -

47.88 MB

2. Course Contents/27.1 File 27.ipynb -

171.2 KB

2. Course Contents/28. 28 Train LGBMClassifier.mp4 -

59.79 MB

2. Course Contents/28.1 File 28.ipynb -

180.82 KB

2. Course Contents/29. 29 calculate the (ROC) curve and the (AUC) score.mp4 -

104.91 MB

2. Course Contents/29.1 File 29.ipynb -

237.97 KB

2. Course Contents/3. 3 calculating statistical information.mp4 -

57.89 MB

2. Course Contents/3.1 File 3.ipynb -

101.61 KB

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