Practice - Data Preparation and Initial Review
Practice Questions
Test your understanding with targeted questions
What is the purpose of data preprocessing?
💡 Hint: Think about how data is prepared for machine learning models.
Define the test set in a machine learning context.
💡 Hint: Remember, it should not be used during training!
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is one purpose of data preprocessing?
💡 Hint: Why do we clean and adjust the data before analysis?
True or False: The test set should be used during model training.
💡 Hint: Consider which data should guide the model's learning process.
1 more question available
Challenge Problems
Push your limits with advanced challenges
You have access to a dataset containing housing prices but find that several features contain missing values. Describe the steps you would take to prep this data for modeling, addressing missing values and potential outliers.
💡 Hint: Consider the importance of each step and why it matters.
Reflect on a scenario where your linear regression model shows high performance on training data but poor performance on test data. What steps would you consider to address this issue?
💡 Hint: Think about potential causes and solutions systematically.
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Reference links
Supplementary resources to enhance your learning experience.