Practice - Lab Objectives
Practice Questions
Test your understanding with targeted questions
Name two key objectives of preparing data for classification.
💡 Hint: Think about the first steps before training a model.
What is Logistic Regression mainly used for?
💡 Hint: Consider how this relates to decision making.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does Logistic Regression predict?
💡 Hint: Think about the outcome of this regression technique.
True or False: KNN uses a training phase to learn a model.
💡 Hint: Consider the nature of KNN as a lazy learner.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Given a dataset with severe class imbalance, outline a detailed plan for preparing your data, selecting a model, and evaluating its effectiveness.
💡 Hint: Think about how you can mitigate issues arising from the class imbalance through your choice of metrics.
Discuss how feature selection could potentially impact the performance of KNN in terms of the curse of dimensionality.
💡 Hint: Consider how too many features can dilute the meaning of 'closeness' in higher dimensions.
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Reference links
Supplementary resources to enhance your learning experience.