2.4.1 - What is Feature Engineering?
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What is feature engineering?
💡 Hint: Think about how transforming data could impact model predictions.
Name one technique used in feature extraction.
💡 Hint: Consider how we turn text into numbers.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does feature engineering primarily focus on?
💡 Hint: Consider the aspect of data handling that enhances model insights.
True or False: Feature selection is unimportant because all the features in a dataset should be used in a model.
💡 Hint: Reflect on why simplifying a model can lead to better performance.
1 more question available
Challenge Problems
Push your limits with advanced challenges
You're tasked with improving the accuracy of a model predicting house prices. Your dataset includes features such as square footage, number of bedrooms, and location. What new feature could you construct, and why would it benefit the model?
💡 Hint: Think about ratios that might offer better insights.
Analyze a dataset containing customer transactions and brainstorm three new features that could be valuable for predicting customer lifetime value.
💡 Hint: What metrics can give insight into long-term customer relationships?
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.