Predicting House Prices Using Advanced Regression Techniques

This project focuses on predicting house prices using the “House Prices – Advanced Regression Techniques” dataset from Kaggle. The main goal was to build an accurate regression model that predicts house prices based on various features.

Steps followed:

Data Cleaning & Preparation:

Checked for missing values

Removed duplicates

Handled outliers

Encoded categorical features

Adjusted skewness to improve model performance

Modeling:

Tried and compared multiple regression models:

Linear Regression

Multiple Linear Regression

Polynomial Regression

Ridge Regression

Lasso Regression

Analysis:

Evaluated the performance of each model

Studied overfitting vs generalization

Selected the best-performing model