In this tutorial, we are going to implement a stock price prediction model using a machine learning algorithm. stock price prediction model as the name suggests, It predicts the price of the stock based on the different parameters like Open, High, Low, Close, etc.
So, I have trained this model using a Multi-Linear Regression model. It’s a simple Linear Regression model and it gave me a 5% RMSE (Root Mean Squared Error).
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