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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a model in Machine Learning?
💡 Hint: Think about what learns in the ML process.
Question 2
Easy
Define input in the context of Machine Learning.
💡 Hint: What do we provide to the model?
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 the term 'Model' refer to in Machine Learning?
- A machine
- The learning algorithm
- The part that learns
💡 Hint: Consider what part of ML reflects learning from data.
Question 2
True or False: 'Input' refers to the results that a model gives after processing data.
- True
- False
💡 Hint: Which part represents data given to the model?
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Create a simple dataset with at least five examples of input-output pairs related to studying hours and marks. Then, describe how you would process this data for training a model.
💡 Hint: Think about how to separate the hours from marks.
Question 2
Discuss how different sources of input data can influence the output of a model, using an example from real life.
💡 Hint: Which factors can change the reliability of your output?
Challenge and get performance evaluation