Determines the likelihood items are recommended based on popularity such as resturants, food choice and so forth. This is a fundamental recommender feature to showcase how to predict the user's activity based on interests. This method is what is known as machine learning and artificial intelligence that is designed to estimate the likelihood an individual will purchase a specific item.
Have the latest version of Python installed on your device which can be found here:https://www.python.org
Must have anaconda, pandas, and NumPy installed to run properly
Use Juypter Notebook to run this program and to view data analytics as well as graph charts