Recommender Systems Complete Course Beginner to Advanced - Project 2: Movie Recommendation System Using Collaborative Fi

The video tutorial explains how to identify unique users and movies in a dataset using Python. It demonstrates calculating the number of unique users and movies, followed by grouping ratings to calculate their counts. The tutorial also covers analyzing the distribution of ratings and visualizing the data. The process involves using Python's pandas library to manipulate and analyze the dataset effectively.

What does the variable 'ratings_CNT count_TMP' represent in the context of the analysis?

How many people followed the 3.5 rating according to the analysis?

What is the significance of ensuring that the remaining count is given as 0 rating?