Car Price

**Car Price Prediction | Machine Learning Project**

Developed a machine learning model to predict car prices based on key features such as brand, model, year, fuel type, transmission, engine size, mileage, and other vehicle specifications. The project included data cleaning, exploratory data analysis (EDA), feature engineering, model training, hyperparameter tuning, and performance evaluation. Multiple regression algorithms were tested to achieve the best predictive accuracy, providing reliable price estimates for used cars.