Lecture Notes

Week 1. Introduction

Week 2. Python review

Week 3. Visualization

Week 4. Linear Algebra review

Week 5. Statistics review

Week 6. Scraping data

Week 7. Exploring data

Week 8. Machine learning

Week 9. K-Nearest Neighbours (KNN)

Week 10. Naive Bayes