Practice Week 2: Data Preprocessing & Feature Engineering (1.4) - ML Fundamentals & Data Preparation
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Week 2: Data Preprocessing & Feature Engineering

Practice - Week 2: Data Preprocessing & Feature Engineering

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What are the two main types of numerical data?

💡 Hint: Think about data that can take any value versus specific values.

Question 2 Easy

What is the purpose of feature scaling?

💡 Hint: Consider algorithms sensitive to the scale of features.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the purpose of feature engineering?

To clean data
To create and transform features
To visualize results

💡 Hint: Think about why features are important for a machine learning model.

Question 2

True or False: Label encoding can introduce incorrect order relationships into categorical data.

True
False

💡 Hint: Consider what happens when integer values are linked to categories.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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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