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data data["Returns"] = data["Close"].pct_change() data.dropna(inplace=True) # Create the target variable data["Target"] = data["Returns"].shift(-1) # Remove the last row from the data data = data[:-1] Building a Machine Learning Model Now, let’s build a machine learning model to predict the future