Recommender Systems Complete Course Beginner to Advanced - Machine Learning Recommender Systems

The video tutorial covers the design and implementation of recommendation systems using Python and machine learning. It begins with an introduction to recommendation systems, followed by detailed steps for building content-based systems, including data preparation and IDF. The tutorial then explores collaborative filtering techniques, focusing on K nearest neighbors. Two projects are introduced: a song recommendation system and a movie recommendation system. The video concludes with a transition to the deep learning section of the course.

What are the two projects mentioned in the course related to machine learning?

What topics will be covered in the deep learning part of the course?