Used Car Price Prediction

Used Car Price Prediction

Built a machine learning model to predict used car prices based on features like brand, year, mileage, and fuel type. The project involved data cleaning, exploratory data analysis (EDA), feature preprocessing, and regression modeling with cross-validation and hyperparameter tuning. The model provides accurate predictions and insights into the factors affecting car prices.

Tools: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn