Neural Networks, Deep Learning, Data Science, Algorithmic Trading, Cryptocurrency Investment.
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 reshape the data def reshape_data(data, time_steps):