Practice - Dataset Preparation
Practice Questions
Test your understanding with targeted questions
What is normalization?
💡 Hint: Think about what happens to data scales when using machine learning.
Name one technique for data augmentation.
💡 Hint: Consider how you might visually change an image.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary goal of normalization?
💡 Hint: Think about why algorithms might struggle with inconsistent feature scales.
True or False: Data augmentation can lead to overfitting.
💡 Hint: Consider the purpose of data augmentation in improving model performance.
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Challenge Problems
Push your limits with advanced challenges
A dataset has features ranging from 0 to 100 and 1000 to 10,000. Explain how you would normalize these features for better training results.
💡 Hint: Focus on how feature scaling can affect learning.
Design an experiment where data augmentation can improve image classification accuracy. Outline the methods you'll use and justify your choices.
💡 Hint: Reflect on the balance between diversity and relevance in training data.
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Reference links
Supplementary resources to enhance your learning experience.