- Python Data Science Handbook (Beginner book + code)
- Introduction to Statistical Learning (Intermediate Book + code)
- Elements of Statistical Learning (Advanced Book)
| Topic | PDSH | ISLP | ESL |
|---|---|---|---|
| Pandas/Numpy | Chapters 2,3 | Chapters 2.3.3 | |
| Visualization | Chapter 4 (mpl, sb) | Chapters 2.3.4 (mpl) | |
| Linear Regression | Chapters 5.3, 5.6 | Chapters 2.2.2, 3, 5 | Chapters 2.3.1, 3.2, 7.2, 7.3, 7.10 |
| LASSO/Ridge (Regularization) | Chapter 5.6 | Chapter 6.2 | Chapter 3.4, 3.8 |
| Logistic Regression | Chapter 4.3 | Chapter 4.4 | |
| Decision Trees/Tree Based Models | Chapter 5.8 | Chapter 8.1, 8.2 | Chapters 9.2, 10.10.2, 15 |
| Naive Bayes | Chapter 5.5 | Chapter 4.4.4 | |
| K-Nearest Neighbors | Chapter 2.2.3 | Chapters 2.3.2, 13.3 | |
| K-Means/Gaussian Mixture Models | Chapters 5.11, 5.12 | Chapters 12.4.1, 12.4.3 | Chapters 8.5, 13.2.1, 13.2.3, 14.3.6, 14.3.7 |
| DBSCAN | |||
| Hierarchical Clustering | Chapter 12.4.2 | Chapter 14.3.12 | |
| Principal Component Analysis | Chapter 5.9 | Chapter 6.3.1, 12.2 | Chapter 14.5.1 |
| Neural Networks | Chapter 10 | Chapter 11 |
- Lecture Playlist
- Google Colab: a shareable online jupyter notebook. Like google docs for code (but instead of being able to see changes live, you can only see other people's changes when you save and re-open notebook). Great for collabing with other people, or for storing your code online.
- OBS Streamlabs: Great for recording your presentation.
- Slack: A place to ask me questions, meet with other students, share fun data sets...etc.
- HP Smart Apple Android: An app that will let you "scan" things to PDF using the camera on your phone/tablet. Great for sending me signed documents, or other important files.