Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
real money. Scaling and splitting the dataframe for training and testing: scaler = MinMaxScaler(feature_range=(0,1)) df_model = df.copy() # Split into Learning (X) and Target (y) Data X = df_model.iloc[:, : -1] y = df_model.iloc[:, -1] X_scaled = scaler.fit_transform(X) # Define a function to