Unit 07 | Prediction with Regression |
| 14 hrs |
Upon completion of this module, you will be able to:
- use multiple regression for prediction and forecasting
- classify with logistic regression
- identify contributing features through backfitting
- evaluate statistical significance and explained variability
- implement Regression in R through packages
- create prediction intervals for forecasts
Linear Regression & Correlation
|
Required Work
Additional Resources
Slide Deck & Data Sets
|
Multiple Linear Regression
|
Required Work
Additional Resources |
Cyclical Adjusted Forecasting Models
|
Required Work
Additional Resources
|
Feature Selection and Principal Component Analysis
|
Required Work
Advanced Readings
Data Sets
|
Logistic Regression
|
Required Work
Additional ResourcesSlide Deck & Data Sets |