Building a Recommender System Using TFRS

The first part of this tutorial was about importing and cleaning the dataset. In this part, we will focus more on feature engineering, training, and evaluating the model. In the following part, we will run both the remove_repeating_subs() and build_training_sequences() functions. Note that for the sake of brevity, we won't include the code for both of these functions. The code for both functions can be found in the link below at the end of the tutorial.