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

The video tutorial covers handling a dataset of songs, focusing on the genres column. It begins by checking for missing genre information and demonstrates how to handle such cases by dropping rows with missing data. The tutorial also addresses formatting issues, such as replacing slashes with spaces in the genres column. The video concludes with a plan to count genre occurrences in a future session.

What is the initial step taken to check for missing genre information in the data set?

• Print the entire data set

• Check for empty cells in the genre column

• List all unique genres

• Count the number of songs

What should be done if a data set has many entries with no genre information?

• Ignore those entries

• Mark them as 'Unknown'

• Replace them with a default genre

• Drop those entries

What is the purpose of resetting the index after handling missing genres?

• To sort the data alphabetically

• To remove duplicate entries

• To ensure the data set is continuous

• To add new columns

What issue is identified in the genre column that needs cleaning?

• Missing genre entries

• Presence of slashes

• Incorrect genre names

• Duplicate genres

Which function is used to replace slashes with spaces in the genre column?

• String join function

• String trim function

• String split function

• String replace function

What is the next step after cleaning the genre column?

• Visualize the data

• Add new genres

• Count the occurrences of each genre

• Export the data set

Why is it important to replace slashes with spaces in the genre column?

• To reduce file size

• To comply with data standards

• To improve readability

• To enhance data security