Unit 10 | Causal Predictive Models |
| 8.5 hrs |
Upon completion of this module, you will be able to:
- use multiple regression for prediction and forecasting
- identify contributing features through backfitting
- evaluate statistical significance and explained variability
- implement Regression in R through packages
- create prediction intervals
Linear Regression & Correlation
|
Required Work
Additional Resources
Slide Deck & Data Sets
|
Multiple Linear Regression
|
Required Work
Additional Resources |
Additive Cyclicality Adjusted Models
|
Required Work
|
Feature Selection
|
Required Work
Additional Resources |