Data Science from Scratch

Here's all the code and examples from the second edition of my book Data Science from Scratch.

(If you're looking for the code and examples from the first edition, that's in the first-edition folder.)

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
19. Clustering
20. Natural Language Processing
21. Network Analysis
22. Recommender Systems
23. Databases and SQL
24. MapReduce
25. Go Forth And Do Data Science