House Price Prediction using Linear Regression

This project predicts house prices based on features such as area, rooms, and location using a Linear Regression model.

Steps Involved

1. Load dataset from Kaggle
2. Handle missing values and encode categorical features
3. Train a linear regression model using Scikit-learn
4. Evaluate performance using RMSE
5. Generate submission.csv file

Libraries Used

• Pandas
• NumPy
• Scikit-learn
• Matplotlib

How to Run

pip install -r requirements.txt
python main.py