7.4.3 - Important Concepts
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 what supervised implies.
What does overfitting mean?
💡 Hint: Consider how it performs on new data.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is supervised learning?
💡 Hint: Focus on the meaning of 'supervised'.
True or False: Overfitting refers to a model ignoring the training data.
💡 Hint: Remember what overfitting entails.
Get performance evaluation
Challenge Problems
Push your limits with advanced challenges
You are developing a model for predicting house prices. You notice that your model is overfitting the training data. Suggest a method to mitigate this.
💡 Hint: Think about the relationship between training data and unseen data.
In a classification problem, you have an imbalanced dataset. How might this affect the precision and recall of your model?
💡 Hint: Consider how the model's focus might shift in the presence of bias in the datasets.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.