INFO 3700/4390 Advanced Predictive Modeling with R

Stats Dairy has a carefully regulated schedule that it must follow.

WeekTUETHUTopic Areas/Readings/Assignment(s)
0Before Class StartsComplete DataCamp Courses (Intro to Tidyverse/Intermediate R)
1Jun 20 (Day 1)Jun 22 (Day 2)R/R Studio Intro/Tidyverse and Control Logic/ Statistical Learning
2Jun 27 (Day 3)Jun 29 (Day 4 & 5) CI1Simple/Multiple Linear Regression / Regression Assumptions & Transformations
3Jul 4 (Holiday)Jul 6 (Day 5 & 6) CI2Logistic Regression
4Jul 11 (Day 7)Jul 13 (Day 8)Discriminant Analysis / Cross Validation / Bootstrap Resampling
5Jul 18 (Day 9) CI3Jul 20 (Day 10)Ridge Regression and Lasso / Smoothers: Polynomials and Splines
6Jul 25 (Day 11)Jul 27 (Day 12) CI4Gen Additive Models / CART Trees
7Aug 1 (Day 13)Aug 3 (Day 14) CI5Bagging/Random Forest/Boosting Models
8Aug 8 (Day 15)Aug 10 (Day 16)Support Vector Machines / Neural Networks
9Aug 15 (Day 17)Aug 17 (Day 18)Deep Learning / Present Projects