Stock Market, Trading, Forecasting, Machine Learning, Sklearn.
ridge.predict(X_test) mse = mean_squared_error(y_test, y_pred) print("Mean Squared Error:", mse) Conclusion In this tutorial, we learned how to use Ridge Regression to predict stock prices using the yfinance library in Python. We downloaded the AAPL stock prices, prepared the data, split the data