Housing Price Prediction using Scikit-Learn

In this project, I developed a machine learning model to predict housing prices based on property features such as area, number of rooms, location, and other relevant attributes.

Using Scikit-Learn, I performed:

Data cleaning and preprocessing

Feature selection and feature scaling

Model training and evaluation

Comparison of multiple regression algorithms

I experimented with models including Linear Regression and Decision Trees to identify the best-performing approach. The models were evaluated using metrics such as Mean Absolute Error (MAE) and R² score to measure accuracy and performance.

Below, I have provided the training dataset, testing dataset, and the final submission file generated by the model.

This project was completed and submitted as the final project for the Kaggle Introduction to Machine Learning cours