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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of regression algorithms?
💡 Hint: Think about what we want to predict in terms of quantities.
Question 2
Easy
Name a classification algorithm.
💡 Hint: Consider algorithms that categorize data.
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 logistic regression predict?
- Continuous values
- Probabilities
💡 Hint: Think about the types of results that logistic regression is applied to.
Question 2
True or False: K-Means is a classification algorithm.
- True
- False
💡 Hint: Remember what clustering means versus classification.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a predictive model using Linear Regression for planning a construction project based on available historical data.
💡 Hint: Look at previous projects to find data to support your model.
Question 2
Develop an approach to use K-Means clustering for analyzing traffic patterns in urban environments.
💡 Hint: Start by visualizing your clusters to determine the optimal number of K.
Challenge and get performance evaluation