[CourseClub.Me] SkillShare - Data Science and Business Analytics with Python
File List
- 28. ML Interpretability.mp4 191.8 MB
- 30. Visuals & Reports.mp4 191.8 MB
- 31. Visualization Basics.mp4 191.8 MB
- 20. Dividing Data into Subsets.mp4 162.8 MB
- 14. Scaling and Binning Numerical Data.mp4 149.2 MB
- 5. How To Find Help.mp4 133.5 MB
- 10. Dealing with Huge Data.mp4 123.2 MB
- 25. Machine Learning Classification.mp4 119.2 MB
- 15. Validating Data with Schemas.mp4 118.4 MB
- 18. Visual Data Exploration.mp4 115.8 MB
- 19. Descriptive Statistics.mp4 115.8 MB
- 27. Validation of Machine Learning Models.mp4 115.1 MB
- 29. Intro to Machine Learning Fairness.mp4 100.3 MB
- 13. Dealing with Missing Data.mp4 100.0 MB
- 23. Linear Regression for Price Prediction.mp4 93.3 MB
- 16. Encoding Categorical Data.mp4 79.7 MB
- 17. Exploratory Data Analysis.mp4 79.7 MB
- 26. Data Clustering for Deeper Insights.mp4 77.1 MB
- 9. Loading Any Data File.mp4 75.3 MB
- 24. Decision Trees and Random Forests.mp4 73.0 MB
- 4. Tool Overview.mp4 70.3 MB
- 7. Loading Excel and CSV files.mp4 68.8 MB
- 21. Finding and Understanding Relations in the Data.mp4 68.1 MB
- 3. What is Data Science.mp4 66.4 MB
- 32. Visualizing Geospatial Information.mp4 65.1 MB
- 33. Exporting Data and Visualizations.mp4 61.6 MB
- 1. Introduction.mp4 57.2 MB
- 8. Loading Data from SQL.mp4 53.1 MB
- 11. Combining Multiple Data Sources.mp4 44.5 MB
- 36. Conclusion and Congratulations!.mp4 36.0 MB
- 35. Generating PDF Reports from Jupyter.mp4 32.7 MB
- 2. Class Project.mp4 30.0 MB
- 34. Creating Presentations directly in Jupyter.mp4 25.4 MB
- 22. Machine Learning.mp4 19.7 MB
- Exercises.zip 16.6 MB
- 12. Data Cleaning.mp4 13.8 MB
- notebooks.zip 7.8 MB
- 6. Data Loading.mp4 6.9 MB
- housing.csv 1.4 MB
- 28. ML Interpretability.srt 17.2 KB
- 5. How To Find Help.srt 15.7 KB
- 23. Linear Regression for Price Prediction.srt 15.1 KB
- 20. Dividing Data into Subsets.srt 12.9 KB
- 14. Scaling and Binning Numerical Data.srt 11.6 KB
- 18. Visual Data Exploration.srt 11.4 KB
- 25. Machine Learning Classification.srt 11.4 KB
- 10. Dealing with Huge Data.srt 11.3 KB
- 27. Validation of Machine Learning Models.srt 10.8 KB
- 15. Validating Data with Schemas.srt 9.7 KB
- 17. Exploratory Data Analysis.srt 9.4 KB
- 26. Data Clustering for Deeper Insights.srt 9.0 KB
- 29. Intro to Machine Learning Fairness.srt 8.1 KB
- 31. Visualization Basics.srt 8.1 KB
- 13. Dealing with Missing Data.srt 8.0 KB
- 7. Loading Excel and CSV files.srt 7.5 KB
- 9. Loading Any Data File.srt 7.4 KB
- 24. Decision Trees and Random Forests.srt 7.1 KB
- 33. Exporting Data and Visualizations.srt 6.8 KB
- 16. Encoding Categorical Data.srt 6.6 KB
- 19. Descriptive Statistics.srt 6.2 KB
- 4. Tool Overview.srt 6.0 KB
- 3. What is Data Science.srt 5.9 KB
- 32. Visualizing Geospatial Information.srt 5.7 KB
- 8. Loading Data from SQL.srt 5.5 KB
- 21. Finding and Understanding Relations in the Data.srt 5.5 KB
- 11. Combining Multiple Data Sources.srt 5.1 KB
- 1. Introduction.srt 4.3 KB
- 35. Generating PDF Reports from Jupyter.srt 3.8 KB
- 34. Creating Presentations directly in Jupyter.srt 2.9 KB
- 36. Conclusion and Congratulations!.srt 2.6 KB
- 2. Class Project.srt 2.3 KB
- 22. Machine Learning.srt 1.4 KB
- 12. Data Cleaning.srt 1.2 KB
- 6. Data Loading.srt 477 bytes
- 30. Visuals & Reports.srt 305 bytes
- [CourseClub.Me].url 66 bytes
Download Torrent
Related Resources
Copyright Infringement
If the content above is not authorized, please contact us via anywarmservice[AT]gmail.com. Remember to include the full url in your complaint.