Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
column) using slicing (X = df_model.iloc[:, : -1], y = df_model.iloc[:, -1]). 3. Scaling Features: MinMaxScaler: It creates a MinMaxScaler object to scale the features between 0 and 1 (scaler = MinMaxScaler(feature_range=(0,1))). This can be helpful for some machine learning algorithms that work