GOAL: Using the Ames Housing dataset compiled by Dean De Cock, we want to predict the final price of each home along 79 feature columns. We can find the Kaggle Competition here.
I. Imports
II. Data Cleaning and Feature Engineering
- Numerical imputation
- Ordinal Encoding
- Nominal dummy variables
III. EDA & Data Visualization
IV. Apply and Grade Linear and Ensemble Regression Models
- Compare error metrics with RMSE and R2.
- Detect best fit
- Check residuals