Practice - Week 10: Advanced Unsupervised & Dimensionality Reduction
Practice Questions
Test your understanding with targeted questions
What does GMM stand for?
💡 Hint: Think about clustering.
Name one application of anomaly detection.
💡 Hint: Consider financial transactions.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is a key advantage of Gaussian Mixture Models over K-Means?
💡 Hint: Think about the flexibility of GMMs.
True or False: t-SNE can capture global structures in high-dimensional data.
💡 Hint: Recall the purpose of t-SNE.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
As an analyst, you need to choose between GMM and K-Means for a dataset believed to have overlapping clusters. Justify your choice based on the characteristics of your data.
💡 Hint: Consider shapes and cluster distributions.
You are tasked with detecting fraud in a dataset with imbalanced classes (few fraud cases). Which anomaly detection algorithm would you favor, Isolation Forest or One-Class SVM, and why?
💡 Hint: Reflect on how each algorithm handles data imbalance.
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Reference links
Supplementary resources to enhance your learning experience.