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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of 'Modelling' in AI?
💡 Hint: Think about how predictions help in decision-making.
Question 2
Easy
What is the difference between training and testing data?
💡 Hint: Consider how each part aids the learning process.
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 is the main goal of the Modelling phase?
- To collect data
- To create predictive models
- To evaluate model performance
💡 Hint: Recall what step comes after data collection.
Question 2
True or False: In unsupervised learning, the data used has labels.
- True
- False
💡 Hint: Think about who labels the data in supervised scenarios.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You are tasked with creating a machine learning model to classify emails as 'spam' or 'not spam'. Describe the steps you would take in modelling and the choice of algorithm.
💡 Hint: Consider how different algorithms would work for text data.
Question 2
You have a dataset of customer purchases without labels. How would you approach building a model to segment customers based on their purchasing habits?
💡 Hint: Think about which features might significantly influence customer behavior.
Challenge and get performance evaluation