Used Cars Price Prediction
Developed a machine learning regression model using Python, scikit-learn, and Pandas to predict used car prices based on features such as brand, mileage, year, and fuel type. Applied feature engineering, outlier detection, and cross-validation to improve accuracy. Delivered a reliable model that helps buyers and sellers make informed pricing decisions in the second-hand car market.