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?

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

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What is the significance of data preparation in both projects?

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

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

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