Machine Learning Mastery - From Data to Advanced Classifiers --> [ DevCourseWeb ]
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Torrent Added : | 9 months ago in Other - Other |
Torrent Size : | 2.53 GB |
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 -
Get Bonus Downloads Here.url -
182 bytes
~Get Your Files Here !
1. Introduction/1. Introduction.mp4 -
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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