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

The video tutorial guides viewers through analyzing movie and rating datasets. It begins with checking the shape of the datasets, followed by identifying the columns in the ratings dataset. The tutorial then focuses on plotting the rating distribution using a horizontal bar plot, providing insights into how ratings are distributed among users. The process includes setting font sizes, sorting values, and labeling axes for clarity. The tutorial concludes with a visual representation of the rating distribution, highlighting the number of users who have given specific ratings.

What is the shape of the movies dataset?

• 5000 rows and 2 columns

• 10000 rows and 3 columns

• 12000 rows and 4 columns

• 9742 rows and 2 columns

Which columns are present in the ratings dataset?

• Movie ID, Genre, Rating

• Movie Name, Genre, Rating

• User ID, Movie Name, Genre

• User ID, Movie ID, Rating

What type of plot is used to visualize the rating distribution?

• Scatter plot

• Line plot

• Pie chart

• Horizontal bar plot

What is the purpose of setting the font size in the plot?

• To sort the data in the plot

• To enhance the readability of labels

• To adjust the size of the plot

• To change the color of the plot

What does the X label represent in the rating distribution plot?

• Number of users

• Rating

• User ID

• Movie ID

What is the next step after plotting the rating distribution?

• Adding more columns to the dataset

• Re-sorting the data

• Changing the plot type

• Analyzing unique user and movie IDs

How many users have given a rating of 4?

• More than 2000

• Exactly 2000

• Exactly 1000

• Less than 1000