Song Recommender with Unsupervised Machine Learning and Python: A Step-By-Step Coding Tutorial

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Science, Information Technology (IT), Architecture, Social Studies
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1st - 6th Grade
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Hard
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What type of algorithm does Spotify use for song recommendations?
Genetic algorithm
Reinforcement learning algorithm
Unsupervised learning algorithm
Supervised learning algorithm
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which platform is used in the tutorial to write and run Python code?
Google Collab
Visual Studio Code
Jupyter Notebook
PyCharm
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of dropping NAN values during data preprocessing?
To improve model accuracy
To reduce computation time
To increase the dataset size
To add more features
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it important to normalize features in K-means clustering?
To decrease the number of features
To increase the number of clusters
To ensure all features have the same scale
To make the dataset larger
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What method is used to determine the optimal number of clusters in K-means?
Hierarchical clustering
Elbow method
Gap statistic
Silhouette method
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the song recommender function do?
Recommends songs from different clusters
Recommends songs based on user input
Recommends songs from the same cluster
Recommends songs randomly
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you compare the accuracy of the recommender and randomizer functions?
By checking the runtime of each function
By comparing the number of songs recommended
By evaluating the proportion of liked songs
By analyzing the number of clusters
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