Practice Self-Reflection Questions for Students - 5 | Module 2: Supervised Learning - Regression & Regularization (Weeks 4) | Machine Learning
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define overfitting in your own words.

πŸ’‘ Hint: Think about a student memorizing specific answers.

Question 2

Easy

What is regularization?

πŸ’‘ Hint: Consider how teachers help students focus on the important material.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What does overfitting refer to?

  • A model that generalizes well
  • A model that memorizes training data
  • A model with too few parameters

πŸ’‘ Hint: Think about how a student might study.

Question 2

Regularization is used to:

  • True
  • False

πŸ’‘ Hint: Consider the purpose of regularizing functions in mathematics.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a concise report on the effectiveness of Lasso versus Ridge regression within your favorite dataset and provide reasons for your chosen methodology.

πŸ’‘ Hint: Focus on performance metrics such as MSE and R-squared.

Question 2

Reflect on a time when you encountered overfitting, and outline the steps you took to rectify the situation.

πŸ’‘ Hint: Consider real-life situations when introducing noise filters and observing their impacts.

Challenge and get performance evaluation