Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Fil

The video tutorial introduces content-based filtering for music recommendation systems, specifically using a Spotify dataset. It covers the necessary Python libraries, including pandas, numpy, and matplotlib, and demonstrates how to load and explore a dataset of 9643 songs. The tutorial also discusses identifying missing values and plans to develop a function for handling them in the next video.

What details are provided about the songs in the dataset?

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What function is proposed to handle missing values in the dataset?

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