1.4.5 - Modeling
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Practice Questions
Test your understanding with targeted questions
What is modeling in data science?
💡 Hint: Think of how predictions are made from data.
Name one type of machine learning algorithm.
💡 Hint: Consider what algorithms are used for predicting outcomes.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does modeling involve?
💡 Hint: Think about which phase directly uses algorithms.
True or False: Overfitting indicates a model is generalizing well to new data.
💡 Hint: Think about what happens when a model focuses too much on the training set.
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Challenge Problems
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You have trained a model, but your validation accuracy is significantly lower than training accuracy. What steps could you take to address this issue?
💡 Hint: Think about how you could create a more flexible or generalized model.
Create a balanced dataset for training a classification model. How would you approach this, and what techniques might you use?
💡 Hint: Consider ways to adjust your data rather than just throwing out data.
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