DevCourseWeb com Udemy Machine Learning Mastery From Data to Advanced Classifiers

DevCourseWeb com Udemy Machine Learning Mastery From Data to Advanced Classifiers

Name	[ DevCourseWeb.com ] Udemy - Machine Learning Mastery - From Data to Advanced Classifiers	DOWNLOAD Copy Link
Total Size	2.7 GB
Total Files	62
Last Seen	2024-07-22 00:34
Hash	55903BAFD09E3875D0D16C177067CE62BA9A955B

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Get Bonus Downloads Here.url	0.2 KB
/1. Introduction/
1. Introduction.mp4	29.4 MB
2. Installing Jupyter.mp4	38.6 MB
3. How to download Python files.mp4	34.9 MB
/2. Course Contents/
1. Import Data.mp4	110.1 MB
1.1 File 1.ipynb	11.9 KB
10. 10 displaying the distribution of the data using a box plot.mp4	100.2 MB
10.1 File 10.ipynb	442.3 KB
11. 11 displaying the distribution of the data by the different categories.mp4	140.4 MB
11.1 File 11.ipynb	547.9 KB
12. 12 visualize the relationship between two variables with jointplot.mp4	141.7 MB
12.1 File 12.ipynb	978.7 KB
13. 13 calculating the correlation matrix of the DataFrame.mp4	89.1 MB
13.1 File 13.ipynb	992.7 KB
14. 14 creating a mask using NumPy.mp4	60.0 MB
14.1 File 14.ipynb	995.6 KB
15. 15 creating a color map using seaborn.mp4	35.3 MB
15.1 File 15.ipynb	1.0 MB
16. 16 creating a heatmap using seaborn.mp4	93.2 MB
16.1 File 16.ipynb	1.1 MB
17. 17 calculating the number of outliers.mp4	228.9 MB
17.1 File 17.ipynb	1.1 MB
18. 18 standardizing features.mp4	61.7 MB
18.1 File 18.ipynb	73.6 KB
19. 19 Hypothesis testing.mp4	36.6 MB
19.1 File 19.ipynb	77.4 KB
2. 2 visualizing missing data in a dataset.mp4	35.9 MB
2.1 File 2.ipynb	93.0 KB
20. 20 Normalization.mp4	138.3 MB
20.1 File 20.ipynb	115.1 KB
21. 21 split the data into training and testing sets.mp4	154.2 MB
21.1 File 21.ipynb	145.2 KB
22. 22 Start traning SVC and Learn Hyperparameters.mp4	65.7 MB
22.1 File 22.ipynb	148.0 KB
23. 23 find the best hyperparameter.mp4	105.3 MB
23.1 File 23.ipynb	151.1 KB
24. 24 make predictions on the test data and avaluate the model.mp4	141.4 MB
24.1 File 24.ipynb	159.1 KB
25. 25 Train RandomForestClassifier.mp4	106.8 MB
25.1 File 25.ipynb	164.1 KB
26. 26 Train XGBClassifier.mp4	66.8 MB
26.1 File 26.ipynb	169.7 KB
27. 27 Train KNeighborsClassifier.mp4	50.2 MB
27.1 File 27.ipynb	175.3 KB
28. 28 Train LGBMClassifier.mp4	62.7 MB
28.1 File 28.ipynb	185.2 KB
29. 29 calculate the (ROC) curve and the (AUC) score.mp4	110.0 MB
29.1 File 29.ipynb	243.7 KB
3. 3 calculating statistical information.mp4	60.7 MB
3.1 File 3.ipynb	104.1 KB
4. 4 checking for duplicate rows in the DataFrame.mp4	31.9 MB
4.1 File 4.ipynb	105.5 KB
5. 5 calculating the number of distinct values in each column.mp4	58.9 MB
5.1 File 5.ipynb	108.2 KB
6. 6 checking for missing or null values in the DataFrame.mp4	35.9 MB
6.1 File 6.ipynb	120.1 KB
7. 7 Cleaning the data.mp4	74.6 MB
7.1 File 7.ipynb	131.0 KB
8. 8 creating a new column called 'Label' in the DataFrame.mp4	82.5 MB
8.1 File 8.ipynb	162.1 KB
9. 9 creating a histogram plot.mp4	123.3 MB
/~Get Your Files Here !/
Bonus Resources.txt	0.4 KB
Total files 62