Practice Mid-module Assessment / Mini-project: The End-to-end Workflow (4.6)
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Mid-Module Assessment / Mini-Project: The End-to-End Workflow

Practice - Mid-Module Assessment / Mini-Project: The End-to-End Workflow

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does ROC stand for, and why is it important?

💡 Hint: Consider the relationship between true positive and false positive rates.

Question 2 Easy

Define hyperparameter tuning.

💡 Hint: Think about how these parameters differ from model parameters.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary purpose of the ROC curve?

To evaluate model accuracy
To measure false positives
To illustrate true positive rate vs false positive rate

💡 Hint: Think about what the axes of the ROC curve represent.

Question 2

True or False: Hyperparameters can be learned directly from the training data during the model training phase.

True
False

💡 Hint: Consider how they differ from model parameters.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You are given a dataset with heavy class imbalance. Describe how you would approach model selection and evaluation.

💡 Hint: Think about what metrics give a true picture in imbalance scenarios.

Challenge 2 Hard

Explain how you would document your end-to-end workflow after finishing your mini-project.

💡 Hint: Refer back to the key segments of your project to include in the documentation.

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Reference links

Supplementary resources to enhance your learning experience.