Practice - Week 2: Data Preprocessing & Feature Engineering
Practice Questions
Test your understanding with targeted questions
What are the two main types of numerical data?
💡 Hint: Think about data that can take any value versus specific values.
What is the purpose of feature scaling?
💡 Hint: Consider algorithms sensitive to the scale of features.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the purpose of feature engineering?
💡 Hint: Think about why features are important for a machine learning model.
True or False: Label encoding can introduce incorrect order relationships into categorical data.
💡 Hint: Consider what happens when integer values are linked to categories.
1 more question available
Challenge Problems
Push your limits with advanced challenges
You are given a dataset with multiple features affecting house prices. Propose at least two new features you would engineer and justify how they could improve model predictions.
💡 Hint: Think about how different perspectives on the data can reveal valuable insights.
You find a significant number of missing values in a dataset. Discuss two different strategies for dealing with these and the implications of each.
💡 Hint: Consider the trade-offs between preserving data and maintaining quality.
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Reference links
Supplementary resources to enhance your learning experience.