Mercedes-Benz Stock Analysis and Prediction with PythonMercedes-Benz Stock Analysis and Prediction with Python
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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.
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