Machine Learning Mastery From Data to Advanced Classifiers DevCourseWeb

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


     1. Introduction.mp4 -


     2. Installing Jupyter.mp4 -


     3. How to download Python files.mp4 -


     1. Import Data.mp4 -


     1.1 File 1.ipynb -


     10. 10 displaying the distribution of the data using a box plot.mp4 -


     10.1 File 10.ipynb -


     11. 11 displaying the distribution of the data by the different categories.mp4 -


     11.1 File 11.ipynb -


     12. 12 visualize the relationship between two variables with jointplot.mp4 -


     12.1 File 12.ipynb -


     13. 13 calculating the correlation matrix of the DataFrame.mp4 -


     13.1 File 13.ipynb -


     14. 14 creating a mask using NumPy.mp4 -


     14.1 File 14.ipynb -


     15. 15 creating a color map using seaborn.mp4 -


     15.1 File 15.ipynb -


     16. 16 creating a heatmap using seaborn.mp4 -


     16.1 File 16.ipynb -


     17. 17 calculating the number of outliers.mp4 -


     17.1 File 17.ipynb -


     18. 18 standardizing features.mp4 -


     18.1 File 18.ipynb -


     19. 19 Hypothesis testing.mp4 -


     19.1 File 19.ipynb -


     2. 2 visualizing missing data in a dataset.mp4 -


     2.1 File 2.ipynb -


     20. 20 Normalization.mp4 -


     20.1 File 20.ipynb -


     21. 21 split the data into training and testing sets.mp4 -


     21.1 File 21.ipynb -


     22. 22 Start traning SVC and Learn Hyperparameters.mp4 -


     22.1 File 22.ipynb -


     23. 23 find the best hyperparameter.mp4 -


     23.1 File 23.ipynb -


     24. 24 make predictions on the test data and avaluate the model.mp4 -


     24.1 File 24.ipynb -


     25. 25 Train RandomForestClassifier.mp4 -


     25.1 File 25.ipynb -


     26. 26 Train XGBClassifier.mp4 -


     26.1 File 26.ipynb -


     27. 27 Train KNeighborsClassifier.mp4 -


     27.1 File 27.ipynb -


     28. 28 Train LGBMClassifier.mp4 -


     28.1 File 28.ipynb -


     29. 29 calculate the (ROC) curve and the (AUC) score.mp4 -


     29.1 File 29.ipynb -


     3. 3 calculating statistical information.mp4 -


     3.1 File 3.ipynb -


     4. 4 checking for duplicate rows in the DataFrame.mp4 -


     4.1 File 4.ipynb -


     5. 5 calculating the number of distinct values in each column.mp4 -


     5.1 File 5.ipynb -


     6. 6 checking for missing or null values in the DataFrame.mp4 -


     6.1 File 6.ipynb -


     7. 7 Cleaning the data.mp4 -


     7.1 File 7.ipynb -


     8. 8 creating a new column called 'Label' in the DataFrame.mp4 -


     8.1 File 8.ipynb -


     9. 9 creating a histogram plot.mp4 -


     Bonus Resources.txt -

Related torrents

Torrent Name	Added	Size	Seed	Leech	Health
Machine learning	2026-07-23	204 bytes	17	48
Machine Learning in Information and Communication Technology Proceedi…	2023-06-23	10.0 MB	8	1
Machine Learning and Knowledge Extraction 6th IFIP TC 5 DevCourseWeb	2023-07-01	97.6 MB	0	0
Machine Learning for Dummies 2nd Edition True AZW3 DevCourseWeb	2023-06-22	3.4 MB	0	4
Machine Learning on Kubernetes A practical handbook for building and …	2023-07-01	37.1 MB	12	9
Machine Learning For The Web	2023-07-01	21.3 MB	0	1
Machine Learning Fundamentals A Concise Introduction BookRAR	2023-07-01	63.9 MB	1	0
Machine Learning with Dynamics 365 and Power Platform The Ultimate Gu…	2023-07-01	11.1 MB	12	4
Machine Learning for Risk Calculations A Practitioner s View by Ignac…	2023-07-01	24.0 MB	1	0
Machine Learning for High Risk Applications Second Release DevCourseW…	2023-07-01	13.2 MB	9	1

Note :

Feel free to post any comments about this torrent, including links to Subtitle, samples, screenshots, or any other relevant information. Watch Machine Learning Mastery From Data to Advanced Classifiers DevCourseWeb Full Movie Online Free, Like 123Movies, FMovies, Putlocker, Netflix or Direct Download Torrent Machine Learning Mastery From Data to Advanced Classifiers DevCourseWeb via Magnet Download Link.

Comments (0 Comments)

Please login or create a FREE account to post comments