This is a Swift implementation of the contents of the book Data Science from Scratch, 2nd ed by Joel Grus. The original code of the book was written in Python.

This is a work in progress. It's organized as Swift playground with a playground page per chapter. The following chapters are currently implemented:

1. Introduction
2. A Crash Course in Python (no Swift code)
3. Visualizing Data (no Swift code)
4. Linear Algebra
5. Statistics
6. Probability
7. Hypothesis and Inference
8. Gradient Descent
9. Getting Data (no Swift code)
10. Working With Data (no Swift code)
11. Machine Learning
12. k-Nearest Neighbors
13. Naive Bayes
14. Simple Linear Regression
15. Multiple Regression