13. Data Capstone Project

14. Introduction to Machine Learning

15. Linear Regression

16. Cross Validation and Bias-Variance Trade-Off

17. Logistic Regression

18. K Nearest Neighbors

19. Decision Trees and Random Forests

20. Support Vector Machines

21. K Means Clustering

22. Principal Component Analysis

23. Recommender Systems

24. Natural Language Processing

25. Neural Nets and Deep Learning - Part 01

25. Neural Nets and Deep Learning - Part 02

25. Neural Nets and Deep Learning - Part 03

25. Neural Nets and Deep Learning - Part 04

26. Big Data and Spark with Python

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