In this section, we will explain how to split the data into training and testing sets for both approaches, and how to train the
models using the training data.
Before training a machine learning model to predict stock prices, it is important to split the data into training
and testing sets. The training set is used to train the model, while the testing set is used to evaluate the
performance of the trained model.
