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Car Price Prediction using Machine Learning

This project builds a regression model to predict car prices based on multiple features

Cleaned and prepared real-world dataset

Performed feature engineering

Trained regression model (Linear Regression / Random Forest)

Evaluated model using metrics (MAE, RMSE)

Visualized predicted vs actual values

This project demonstrates how machine learning can estimate market prices accurately

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