Practice Lab Objectives (6.1) - Supervised Learning - Classification Fundamentals (Weeks 5)
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Lab Objectives

Practice - Lab Objectives

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Name two key objectives of preparing data for classification.

💡 Hint: Think about the first steps before training a model.

Question 2 Easy

What is Logistic Regression mainly used for?

💡 Hint: Consider how this relates to decision making.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does Logistic Regression predict?

Continuous numbers
Probabilities for classification
Categorical values

💡 Hint: Think about the outcome of this regression technique.

Question 2

True or False: KNN uses a training phase to learn a model.

True
False

💡 Hint: Consider the nature of KNN as a lazy learner.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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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