7.4 - Modelling
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
Define supervised learning.
💡 Hint: Think about how models learn from provided examples.
What is overfitting?
💡 Hint: Consider what happens when a model tries to memorize rather than generalize.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What kind of learning uses labeled data?
💡 Hint: Think about which type uses examples with answers provided.
True or False: Unsupervised learning is used for predicting future events.
💡 Hint: Focus on the function of unsupervised learning.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Analyze a case where a model has high accuracy on training data but low accuracy on test data. What could be going wrong?
💡 Hint: Consider the implications of model complexity.
Design a strategy to balance bias and variance in a simple decision tree model.
💡 Hint: Focus on how to make the model generalize better.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.