Practice Project Report/presentation (4.6.4) - Advanced Supervised Learning & Evaluation (Weeks 8)
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Project Report/Presentation

Practice - Project Report/Presentation

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the purpose of a problem statement in a project report?

💡 Hint: Think about what the reader needs to know first.

Question 2 Easy

Name one important metric to evaluate a model's performance.

💡 Hint: Consider the measures we discussed in class.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is a clear purpose of the problem statement in a project report?

To list all data sources used in the project
To define what the project solves
To explain the algorithms used in modeling

💡 Hint: Think about what guides the entire project.

Question 2

True or False: It's not necessary to document your preprocessing steps if the dataset quality is high.

True
False

💡 Hint: Consider the implications of not documenting processes.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Imagine you have a dataset that is highly imbalanced. Draft a project report's Section 3 that includes data preprocessing steps that address this challenge.

💡 Hint: Refer to standard practices in handling imbalanced datasets.

Challenge 2 Hard

You are tasked with creating a learning curve for a classification problem. Discuss the interpretations you could derive from underfitting and overfitting contexts.

💡 Hint: Connect your interpretations to model adjustments that could improve performance.

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