Practice - Prepare Data for Regression
Practice Questions
Test your understanding with targeted questions
What is the purpose of creating synthetic datasets?
💡 Hint: Think about why we might simulate rather than use real data.
Define overfitting in your own words.
💡 Hint: What happens if a model is too complex for the data it learns from?
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary purpose of creating synthetic datasets?
💡 Hint: Why might you create a dataset instead of just using the real-world data?
True or False: Overfitting occurs when a model performs significantly better on training data than on test data.
💡 Hint: Recall the difference between training performance and unseen data performance.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Create a synthetic dataset for predicting housing prices based on square footage and other features, and explain how you would split it.
💡 Hint: Consider realistic distributions of housing data in your creation.
Analyze the consequences of using an inadequate amount of data for training versus testing, focusing on model performance.
💡 Hint: What balance must you strike between learning and evaluating?
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.