This ipynb has step by step implementation of creating a fake dataFrame. Built a MLR model based on it to predict stock price using its feature's using both statsmodel and sklearn Finally create a tkinter based application to predict the same stock price using the trained model
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shabbirg89/Python-tkinter-based-stock-prediction-application-using-Multiple-Linear-Regression
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