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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define supervised learning.
π‘ Hint: Think about how labels guide the learning process.
Question 2
Easy
What is imputation?
π‘ Hint: Recall how we handle gaps in 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 type of learning uses labeled data?
π‘ Hint: Focus on the concept of guidance in learning.
Question 2
True or False: Dimensionality reduction helps in reducing the number of features in ML.
π‘ Hint: Think about simplifying complex data.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Assess the impact of misapplying imputation techniques on a dataset likely to influence predictive accuracy.
π‘ Hint: Consider how imputation affects the underlying data distribution.
Question 2
Create a plan for a machine learning project from problem definition to model deployment, detailing each step.
π‘ Hint: Think through the workflow and what is necessary at each stage.
Challenge and get performance evaluation