Stock Price Prediction, Linear Regression.
process of transforming numerical features to have a mean of 0 and a standard deviation of 1. from sklearn import preprocessing r_scaler = preprocessing.MinMaxScaler() r_scaler.fit(MiceImputed) modified_data = pd.DataFrame(r_scaler.transform(MiceImputed), index=MiceImputed.index,