Recommender Systems with Machine Learning - Project Overview

The video tutorial introduces two projects: a song recommendation system using content-based filtering and a movie recommendation system using collaborative filtering. The instructor outlines the steps for each project, including data preparation, data insights, and building and testing recommendation engines. The video concludes with a transition to the next module on recommender systems.

What is the first project mentioned in the text and what technique will be used?

Describe the steps involved in the first project of Song's recommendation system.

What is the significance of data preparation in both projects?

What is the second project mentioned and what filtering technique will be used?

List the steps that will be taken in the second project.