Udemy - Machine Learning Mastery - From Data to Advanced Classifiers

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Udemy - Machine Learning Mastery - From Data to Advanced Classifiers

Torrent Contents Size: 2.5 GB

Udemy - Machine Learning Mastery - From Data to Advanced Classifiers
▼ show more 47 files
1. Import Data.mp4
MP4
105 MB
1. Introduction.mp4
MP4
28.1 MB
1.1 File 1.ipynb
IPYNB
11.6 KB
10. 10 displaying the distribution of the data using a box plot.mp4
MP4
95.5 MB
10.1 File 10.ipynb
IPYNB
432 KB
11. 11 displaying the distribution of the data by the different categories.mp4
MP4
133.9 MB
11.1 File 11.ipynb
IPYNB
535.1 KB
12. 12 visualize the relationship between two variables with jointplot.mp4
MP4
135.2 MB
12.1 File 12.ipynb
IPYNB
955.8 KB
13. 13 calculating the correlation matrix of the DataFrame.mp4
MP4
84.9 MB
13.1 File 13.ipynb
IPYNB
969.4 KB
14. 14 creating a mask using NumPy.mp4
MP4
57.2 MB
14.1 File 14.ipynb
IPYNB
972.2 KB
15. 15 creating a color map using seaborn.mp4
MP4
33.6 MB
15.1 File 15.ipynb
IPYNB
978.1 KB
16. 16 creating a heatmap using seaborn.mp4
MP4
88.8 MB
16.1 File 16.ipynb
IPYNB
1 MB
17. 17 calculating the number of outliers.mp4
MP4
218.3 MB
17.1 File 17.ipynb
IPYNB
1.1 MB
18. 18 standardizing features.mp4
MP4
58.8 MB
18.1 File 18.ipynb
IPYNB
71.8 KB
19. 19 Hypothesis testing.mp4
MP4
34.9 MB
19.1 File 19.ipynb
IPYNB
75.5 KB
2. 2 visualizing missing data in a dataset.mp4
MP4
34.3 MB
2. Installing Jupyter.mp4
MP4
36.8 MB
2.1 File 2.ipynb
IPYNB
90.8 KB
20. 20 Normalization.mp4
MP4
131.9 MB
20.1 File 20.ipynb
IPYNB
112.4 KB
21. 21 split the data into training and testing sets.mp4
MP4
147 MB
21.1 File 21.ipynb
IPYNB
141.8 KB
22. 22 Start traning SVC and Learn Hyperparameters.mp4
MP4
62.6 MB
22.1 File 22.ipynb
IPYNB
144.5 KB
23. 23 find the best hyperparameter.mp4
MP4
100.4 MB
23.1 File 23.ipynb
IPYNB
147.6 KB
24. 24 make predictions on the test data and avaluate the model.mp4
MP4
134.8 MB
24.1 File 24.ipynb
IPYNB
155.4 KB
25. 25 Train RandomForestClassifier.mp4
MP4
101.8 MB
25.1 File 25.ipynb
IPYNB
160.2 KB
26. 26 Train XGBClassifier.mp4
MP4
63.7 MB
26.1 File 26.ipynb
IPYNB
165.7 KB
27. 27 Train KNeighborsClassifier.mp4
MP4
47.9 MB
27.1 File 27.ipynb
IPYNB
171.2 KB
28. 28 Train LGBMClassifier.mp4
MP4
59.8 MB
28.1 File 28.ipynb
IPYNB
180.8 KB
29. 29 calculate the (ROC) curve and the (AUC) score.mp4
MP4
104.9 MB
29.1 File 29.ipynb
IPYNB
238 KB
3. 3 calculating statistical information.mp4
MP4
57.9 MB
3. How to download Python files.mp4
MP4
33.3 MB
3.1 File 3.ipynb
IPYNB
101.6 KB
4. 4 checking for duplicate rows in the DataFrame.mp4
MP4
30.4 MB
4.1 File 4.ipynb
IPYNB
103.1 KB
5. 5 calculating the number of distinct values in each column.mp4
MP4
56.2 MB
5.1 File 5.ipynb
IPYNB
105.6 KB
6. 6 checking for missing or null values in the DataFrame.mp4
MP4
34.2 MB
6.1 File 6.ipynb
IPYNB
117.3 KB
7. 7 Cleaning the data.mp4
MP4
71.2 MB
7.1 File 7.ipynb
IPYNB
128 KB
8. 8 creating a new column called 'Label' in the DataFrame.mp4
MP4
78.7 MB
8.1 File 8.ipynb
IPYNB
158.3 KB
9. 9 creating a histogram plot.mp4
MP4
117.6 MB
Bonus Resources.txt
TXT
409.6 B
Get Bonus Downloads Here.url
URL
204.8 B

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