The Stock Price Prediction project utilizes Python and Pandas for data preprocessing and feature engineering. It employs a Stochastic Gradient Descent (SGD) Regressor, optimized through GridSearchCV, to forecast stock prices. The project evaluates model performance using metrics like MSE, MAE, and R2.
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The Stock Price Prediction project utilizes Python and Pandas for data preprocessing and feature engineering. It employs a Stochastic Gradient Descent (SGD) Regressor, optimized through GridSearchCV, to forecast stock prices. The project evaluates model performance using metrics like MSE, MAE, and R2.
satearnsvibe/Stock-Price-Prediction-Project
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The Stock Price Prediction project utilizes Python and Pandas for data preprocessing and feature engineering. It employs a Stochastic Gradient Descent (SGD) Regressor, optimized through GridSearchCV, to forecast stock prices. The project evaluates model performance using metrics like MSE, MAE, and R2.
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