In this notebook, you will learn to train a model that predicts the most optimal site URL based on a search term from the user in the search engine. You will learn to:

• Load 2 data sets, 1 on search terms, URLs and respective page ratings, the other that lists the URLs and their unique IDs.
• Trim, and normalize the data
• Install and define a model definition based on the Tensorflow 2 framework with Keras layers
• Fit the data to the layers and train the model
• Extract the PCA
• Predict the user target URL based on the search term attached to the URL with the highest PCA