Built a stock analysis and

Built a stock analysis and prediction project using Python, Pandas, NumPy, and Scikit-learn. I cleaned and prepared historical Mercedes-Benz stock data, explored price trends and returns, created visualizations, trained regression models, and compared model performance using evaluation metrics such as MAE, MSE, and R².

The goal was to understand historical stock behavior and build a machine learning workflow for predicting future price-related values.