Welcome to the Section Materials for API-222! This page contains all of the code and notes for the course. You can use the links below to navigate to the different sections of the course. If you have any questions or need help with anything, please don’t hesitate to reach out to me.
| Title | Author |
|---|---|
| Section 1 - Intro to API 222 and R | Jacob Jameson |
| Section 10 - Neural Networks, Deep Learning, and Reinforcement Learning | Jacob Jameson |
| Section 2 - KNN and Linear Regression | Jacob Jameson |
| Section 3 - More on Linear Regression: Exercises | Jacob Jameson |
| Section 4 - Classification | Jacob Jameson |
| Section 5 - Cross-Validation, Ridge, Lasso, and Bootstrapping | Jacob Jameson |
| Section 6 - Regularization and Dimension Reduction | Jacob Jameson |
| Section 7 - Non-linear Models | Jacob Jameson |
| Section 8 - Tree-Based Methods | Jacob Jameson |
| Section 9 - Support Vector Machines | Jacob Jameson |