Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Exploring Genres in
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Information Technology (IT), Architecture
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University
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Practice Problem
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Hard
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the initial step taken to handle movies without genres?
Assign a default genre
Merge with another dataset
Drop the entries
Replace with 'Unknown'
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of resetting the index after dropping entries?
To sort the dataset
To remove duplicates
To add new entries
To maintain a continuous index
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What character is replaced with spaces in the genres column?
Semicolon
Straight line
Hyphen
Comma
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How are genre occurrences counted in the dataset?
Using a single loop
Using a nested loop
Using a built-in function
Using a third-party library
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What data structure is used to store the count of each genre?
List
Set
Tuple
Dictionary
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which library is used for visualizing the genre counts?
Seaborn
Matplotlib
Pandas
Plotly
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What type of plot is used to display the genre counts?
Line plot
Scatter plot
Bar plot
Pie chart
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