Recommender Systems with Machine Learning - Occurrence Count

The video tutorial explains how to use a for loop in Python to count occurrences of different music genres from a dataset. It starts by initializing a dictionary to store the counts, iterates over the dataset to update the counts, and then visualizes the results using a bar plot with matplotlib. The tutorial concludes with a brief mention of further analysis using TFIDF.

How are the genres differentiated when counting their occurrences?

Discuss the importance of data analysis in understanding music genres.

What is the significance of the TFIDF frequency in the context of genre analysis?