Recommender Systems with Machine Learning - Dataset Usage

The video tutorial covers the development of a Spotify songs recommender system using content-based filtering. It introduces the necessary Python libraries, such as pandas, numpy, and matplotlib, and demonstrates how to load and explore a dataset of songs. The tutorial also discusses identifying missing values in the dataset and plans to develop a function for this purpose in the next video.

What are the three libraries needed to develop a recommender system as mentioned in the text?

Describe the process of loading the dataset into a variable as outlined in the text.

What details about the songs are provided in the dataset?

What is the shape of the dataset and what does it signify?

Explain how to check for missing values in the dataset according to the text.