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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What are features in Machine Learning?
💡 Hint: Think about the data we provide to the model.
Question 2
Easy
What is a target variable?
💡 Hint: What do we want to find out from the data?
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does 'features' refer to in Machine Learning?
- Input variables
- Output variables
- Trained models
💡 Hint: These are what we feed into the model.
Question 2
True or False: Overfitting occurs when a model performs well on unseen data.
- True
- False
💡 Hint: Consider how the model behaves on new data.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You are given a dataset to predict housing prices. Identify potential features and targets for your model and discuss why they are critical.
💡 Hint: Think about what information influences price most.
Question 2
Design a simple strategy to prevent overfitting in a model you build. Discuss at least two methods.
💡 Hint: What techniques help manage model complexity?
Challenge and get performance evaluation