DataScienceFromScratch

The exercises and examples from Data Science From Scratch by Joel Grus in Jupyter notebooks with examples done using Bokeh. Most of the code is from the book and was written by Joel Grus and his version of the code from the book is data-science-from-scratch. This is what I am creating as I go through the book and attempt to learn the material and Bokeh.

Table of Contents

1. Introduction
2. A Crash Course in Python
3. Visualizing Data
4. Linear Algebra
5. Statistics
6. Probability
7. Hypothesis and Inference
8. Gradient Descent
9. Getting Data
10. Working With Data
11. Machine Learning
12. k-Nearest Neighbors
13. Naive Bayes
14. Simple Linear Regression
15. Multiple Regression
16. Logistic Regression
17. Decision Trees
18. Neural Networks: TODO
19. Clustering: TODO
20. Natural Language Processing: TODO
21. Network Analysis: TODO
22. Recommender Systems: TODO
23. Databases and SQL: TODO
24. MapReduce: TODO
25. Go Forth And Do Data Science: TODO