Exploring features, preprocessing, and predictive modeling to estimate house prices
This project predicts house prices using a real-world dataset (HousePricePrediction.xlsx). It demonstrates:
Data cleaning & preprocessing
Feature engineering
Multiple regression modeling approaches (Linear, Ridge, Polynomial)
Encoding strategies for categorical variables
Feature selection and hyperparameter optimization
Model comparison and performance evaluation