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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is machine learning?
π‘ Hint: Think about how the computer improves without human commands.
Question 2
Easy
Name two types of machine learning.
π‘ Hint: Consider the difference between labeled and unlabeled data.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the primary goal of supervised learning?
π‘ Hint: Think about what labeled data provides.
Question 2
True or False: PCA is used to increase the number of dimensions in data.
π‘ Hint: Consider what PCA aims to achieve.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
You are given a dataset with missing values. Discuss the advantages and disadvantages of using deletion versus imputation to handle these values.
π‘ Hint: Consider data integrity and the potential impact on analysis.
Question 2
You have a dataset with high dimensionality. Explain how PCA can help improve your machine learning model's performance.
π‘ Hint: Think about model simplicity versus complexity.
Challenge and get performance evaluation