Stock Price Prediction, Linear Regression.
model learner.fit(X_train,y_train) #training the linear regression model score=learner.score(X_test,y_test)#testing the linear regression model score= 0.9999142675478361 8- Build Polynomial Regression Model In polynomial model we will import the polynomial model from sklearn and fit our dataset