Practice - Core Concepts
Practice Questions
Test your understanding with targeted questions
What is underfitting?
💡 Hint: Think about how well the model fits the training data.
What is overfitting?
💡 Hint: Consider how a student remembers answers without understanding.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary goal of regularization?
💡 Hint: Focus on why we add penalties to models.
True or False: L1 regularization can lead to some coefficients being exactly zero.
💡 Hint: Think about what each type of regularization does.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Given a dataset with numerous features, how would you decide on the ideal regularization technique? Explain your reasoning thoroughly.
💡 Hint: Think about the data structure and your modeling goal.
You have implemented K-Fold Cross-Validation but find that some folds contain very few samples of a minority class. What steps can you take to address this issue?
💡 Hint: Consider how class distribution affects performance metrics.
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Reference links
Supplementary resources to enhance your learning experience.