praiseson X completed Machine Learning for Automotive

Built an end-to-end used-car pricing workflow for VW and Audi listings: combined the datasets, explored price and mileage patterns, engineered age-based features, encoded categorical variables, and compared Linear Regression with Random Forest using R², MAE, and RMSE. The final business summary connected model accuracy to pricing decisions and recommended adoption in a CPO pricing pipeline.

• Leakage-Free Feature Engineering
• Comparative Model Evaluation
• Business-Oriented Interpretation