INFO 3700/4390 Advanced Predictive Modeling with R
Stats Dairy has a carefully regulated schedule that it must follow.
| Week | TUE | THU | Topic Areas/Readings/Assignment(s) |
|---|---|---|---|
| 0 | Before Class Starts | Complete DataCamp Courses (Intro to Tidyverse/Intermediate R) | |
| 1 | Jun 20 (Day 1) | Jun 22 (Day 2) | R/R Studio Intro/Tidyverse and Control Logic/ Statistical Learning |
| 2 | Jun 27 (Day 3) | Jun 29 (Day 4 & 5) CI1 | Simple/Multiple Linear Regression / Regression Assumptions & Transformations |
| 3 | Jul 4 (Holiday) | Jul 6 (Day 5 & 6) CI2 | Logistic Regression |
| 4 | Jul 11 (Day 7) | Jul 13 (Day 8) | Discriminant Analysis / Cross Validation / Bootstrap Resampling |
| 5 | Jul 18 (Day 9) CI3 | Jul 20 (Day 10) | Ridge Regression and Lasso / Smoothers: Polynomials and Splines |
| 6 | Jul 25 (Day 11) | Jul 27 (Day 12) CI4 | Gen Additive Models / CART Trees |
| 7 | Aug 1 (Day 13) | Aug 3 (Day 14) CI5 | Bagging/Random Forest/Boosting Models |
| 8 | Aug 8 (Day 15) | Aug 10 (Day 16) | Support Vector Machines / Neural Networks |
| 9 | Aug 15 (Day 17) | Aug 17 (Day 18) | Deep Learning / Present Projects |