Used Car Price Prediction Using Machine Learning

Developed a complete Machine Learning project for predicting used car prices from vehicle information.

The project includes data cleaning and preprocessing, exploratory data analysis, handling missing values and outliers, feature engineering, model training, and model evaluation.

I built a complete Machine Learning pipeline using Python and Scikit-learn, then integrated the trained model into a Streamlit web application where users can enter vehicle details and receive a predicted price.

The project demonstrates practical skills in data analysis, preprocessing, Machine Learning, model evaluation, and deployment.