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)
1Jan 9 (Day 1)Jan 11 (Day 2)R/R Studio Intro/Tidyverse and Control Logic/ Statistical Learning
2Jan 16 (Day 3)Jan 18 (Day 4) CI1Simple/Multiple Linear Regression
3Jan 23 (Day 5)Jan 25 (Day 6) CI2Regression Assumptions & Transformations / Logistic Regression
4Jan 30 (Day 7)Feb 1 (Day 8)Discriminant Analysis / Cross Validation / Bootstrap Resampling
5Feb 6 (Day 9) CI3Feb 8 (Day 10)Ridge Regression and Lasso / Smoothers: Polynomials and Splines
6Feb 13 (Day 11)Feb 15 (Day 12) CI4Gen Additive Models / CART Trees
7
Feb 20 (Zoom Office Hours)Feb 22 (No Class)Work Week
8Feb 27 (Day 13)Feb 29 (Day 14) CI5Bagging / Random Forest / Boosting Models
9Mar 5 (Day 15)Mar 7 (Day 16)Support Vector Machines / Work Day
10Mar 12 (Day 17) CI6Mar 14 (Day 18)Neural Networks / Deep Learning
FinalsMar 19Present Projects