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1. Course Introduction/ 2025-12-22 13:14 -
2. Environment Set-Up/ 2025-12-22 13:13 -
3. Jupyter Overview/ 2025-12-22 13:12 -
4. Python Crash Course/ 2025-12-22 13:12 -
5. Python for Data Analysis - NumPy/ 2025-12-22 13:12 -
6. Python for Data Analysis - Pandas/ 2025-12-22 13:12 -
7. Python for Data Analysis - Pandas Exercises/ 2025-12-22 13:12 -
8. Python for Data Visualization - Matplotlib/ 2025-12-22 13:11 -
9. Python for Data Visualization - Seaborn/ 2025-12-22 13:11 -
10. Python for Data Visualization - Pandas Built-in Data Visualization/ 2025-12-22 13:14 -
11. Python for Data Visualization - Plotly and Cufflinks/ 2025-12-22 13:14 -
12. Python for Data Visualization - Geographical Plotting/ 2025-12-22 13:14 -
13. Data Capstone Project/ 2025-12-22 13:14 -
14. Introduction to Machine Learning/ 2025-12-22 13:13 -
15. Linear Regression/ 2025-12-22 13:13 -
16. Cross Validation and Bias-Variance Trade-Off/ 2025-12-22 13:13 -
17. Logistic Regression/ 2025-12-22 13:13 -
18. K Nearest Neighbors/ 2025-12-22 13:13 -
19. Decision Trees and Random Forests/ 2025-12-22 13:13 -
20. Support Vector Machines/ 2025-12-22 13:13 -
21. K Means Clustering/ 2025-12-22 13:13 -
22. Principal Component Analysis/ 2025-12-22 13:13 -
23. Recommender Systems/ 2025-12-22 13:13 -
24. Natural Language Processing/ 2025-12-22 13:13 -
25. Big Data and Spark with Python/ 2025-12-22 13:13 -
26. Neural Nets and Deep Learning/ 2025-12-22 13:13 -
27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/ 2025-12-22 13:12 -
28. BONUS SECTION THANK YOU!/ 2025-12-22 13:12 -