Kailash Srungavarapu completed Machine Learning for Automotive

Built an end-to-end VW and Audi used-car pricing workflow: combined the datasets, engineered age and mileage-based predictors, trained and compared Linear Regression and Random Forest models on an 80/20 split, and tuned the forest with GridSearchCV. The submission also interprets the strongest price drivers and frames the results for a Certified Pre-Owned pricing team.

• Leakage-Free Feature Engineering
• Honest Model Evaluation
• Comparative Model Selection
• Business Translation of ML Results