7.3.3.4 - LightGBM
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 LightGBM?
💡 Hint: Think of it as a smart way to improve model predictions.
Describe one advantage of LightGBM.
💡 Hint: How does it handle data differently?
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What primary algorithmic approach does LightGBM utilize?
💡 Hint: Think about how it groups data.
True or False: LightGBM is designed primarily for small datasets.
💡 Hint: Does it handle data well?
1 more question available
Challenge Problems
Push your limits with advanced challenges
You are given a large dataset with multiple features. Describe how you would approach setting up a LightGBM model to ensure optimal performance.
💡 Hint: What steps did we discuss for model preparation?
Critically evaluate a situation where using LightGBM may not be the best choice. Provide reasoning and alternatives.
💡 Hint: Think about when complexity can be a drawback.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.