Kellie B. Keeling
Stats Dairy has a carefully regulated schedule that it must follow.
INFO 4390 - Advanced Predictive Modeling with R
Syllabus: INFO 4390 - Advanced Predictive Modeling with R
| Dates | Topics |
|---|---|
| Week 1 Jan 4 & 6 |
R/R Studio Intro/Tidyverse and Control Logic/ Statistical Learning |
| Week 2 Jan 11 & 13 |
Simple/Multiple Linear Regression |
| Week 3 Jan 18 & 20 |
Logistic Regression / Discriminant Analysis |
| Week 4 Jan 25 & 27 |
Cross Validation / Bootstrap Resampling |
| Week 5 Feb 1 & 3 |
Ridge Regression / Lasso |
| Week 6 Feb 8 & 10 |
Smoothers: Polynomials and Splines / Gen Additive Models |
| Week 7 Feb 15 (zoom) & 17 |
CART Trees Feb 17 No Class |
| Week 8 Feb 22 & 24 |
Bagging/Random Forest |
| Week 9 Mar 1 & 3 |
Support Vector Machines / Neural Networks |
| Week 10 Mar 8 & 10 |
Deep Learning |
| Week 11 Mar 15 |
Present Projects |
Stats Dairy has a carefully regulated schedule that it must follow.
MBA 4265 – Introduction to Analytics
Syllabus: No syllabus/schedule yet – starts Feb 7th
Stats Dairy provides its cows with plenty of extra nourishment.
INFO 4360 Advanced Predictive Modeling with R
Data Camp
The Managing Operations Officer can be contacted for additional information.
Office Hours
T/Th 5:00-5:50pm OR
Click to schedule an appointment
The Office 365 Bookings system interacts directly with my calendar and will list open times both in person in Daniels 590 and on Zoom. It will allow you to make an appointment up to 2.5 hours before the scheduled time.
Class Room & Times
INFO 4360 Advanced Predictive Modeling with R
Section 1: T/Th 6:00pm DCB 130
MBA 4265 Intro to Analytics (starts Feb 7)
Section 1: M/W 10:00am DCB 240
