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1. Installing Anaconda 2.0 on Windows
2. Installing Anaconda 2.0 on macOS
3. Installing Anaconda 2.0 on Linux
4. Variables, expressions and statements
5. Functions
6. Iteration
7. Strings
8. Lists
9. Dictionaries
10. Tuples
11. Files
12. Matplotlib Tutorial
13. Pandas Training
14. Data, Sampling, and Variation in Data and Sampling
15. Histograms, Frequency Polygons, and Time Series Graphs
16. Measures of the Location of the Data
17. Box Plots
18. Descriptive Statistics
19. Definitions of Statistics, Probability, and Key Terms
20. Covariance
21. Data Cleaning
22. Correlation and Simple Linear Regression
Diane Kiernan
23. Multiple Linear Regression
24. Logistic Regression
25. Naive bayes
26. Decision tree
27. Random Forest
28. Neural Networks
29. Cross-Validation
30. KNN
31. SVM
32. Classification Metrics
33. Clustering Metrics and Cluster Validity
34. Dimensionality Reduction
35. A priori & Association rules
36. Dynamic hashing & Merkle Tree
37. How to Use Data to Tell Stories?
Appendix
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Building Skills for Data Science Copyright © by Dr. Nouhad Rizk. All Rights Reserved.
