Summary

In this chapter, we explored different types of recommenders. In the first section, we did an exploratory data analysis to get a grasp of the dataset. We also preprocessed and cleaned a dataset, as well as merged different DataFrames. In the second section, we learned about collaborative filtering recommenders and used two different algorithms. In the final section, we explored LB recommenders and used the k-means clustering algorithm and top-rated restaurants to recommend restaurant venues based on the location of the user.