/regression_analysis

Advanced supervised learning techniques on a continuous response variable

Primary LanguageR

House Price Regression Model

This R script uses the classic Ames Housing dataset to illustrate a full regression modeling project.

Code Sections

  • Create Target Population
  • Treat Missing Values
  • Correlation
  • Outlier Treatment
  • Deep Dive into 3 Highly Correlated Variables
  • Train/Test Split
  • Automated Feature Selection (Forward, Backward, Stepwise)
  • Model Results (VIF, R-squared, AIC, BIC, MSE, RMSE, MAE)
  • Validation
  • Reduce Model Complexity
  • Diagnostic Analysis