6 - Unsupervised Learning – Clustering & Dimensionality Reduction
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Practice Questions
Test your understanding with targeted questions
What is unsupervised learning?
💡 Hint: Think about whether the data has labels or not.
Name one clustering algorithm.
💡 Hint: What is a basic method to group similar data points?
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main purpose of unsupervised learning?
💡 Hint: What do you want to learn from the data?
True or False: K-Means clustering requires knowing the number of clusters in advance.
💡 Hint: Consider if the algorithm can determine clusters itself.
3 more questions available
Challenge Problems
Push your limits with advanced challenges
You have a dataset with 1000 movie reviews, each with features such as genre, rating, and user scores. Use clustering to segment the reviews into groups based on similarity, explain which algorithm you would choose and why.
💡 Hint: Consider the characteristics of your data and efficiency.
You have a high-dimensional dataset and want to visualize it. Explain how you would apply t-SNE and what its advantages are in this scenario.
💡 Hint: Think about how t-SNE optimizes clusters visually.
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