Muhammad Talha Inam completed Machine Learning for Automotive

Built an end-to-end used-car pricing analysis for VW and Audi listings: combined the datasets, explored price and mileage patterns, engineered predictive features, and compared Linear Regression with Random Forest using R², MAE, and RMSE. The final recommendation favored Random Forest as a pricing support tool and highlighted the most influential drivers of price, including mpg, car_age, and engineSize.

• Leakage-Free Data Preparation
• Comparative Model Evaluation
• Business-Oriented Model Interpretation