Mastering Gradient Boosting with XGBoost & LightGBM | CodeSignal Learn

Skip to main content

beginner

Mastering Gradient Boosting with XGBoost & LightGBM

Artificial Intelligence

Trusted by learners working at top companies

Turn screen time into skills time

Practice anytime, anywhere with our mobile app.

Sign up

Join the 1M+ learners on CodeSignal

Be a part of our community of 1M+ users who develop and demonstrate their skills on CodeSignal

3 courses

39 practices

3 hours

Explore the world of gradient boosting from the ground up! Build, tune, and interpret powerful models using scikit-learn, XGBoost, LightGBM, and CatBoost—gaining hands-on skills to solve real-world classification problems with confidence.

4.52

132 learners

Earn a shareable

Certificate of Achievement

Verified skills you'll gain

INTERMEDIATE

Coding and Data Algorithms

INTERMEDIATE

Machine Learning Model Development

Tools you'll use

LightGBM

Numpy

Pandas

Python

Scikit-learn

XGBoost

Course 1

Foundations of Gradient Boosting

4 lessons

13 practices

You'll start by building a single decision tree, then see how combining trees in a Random Forest improves results. Finally, you'll learn the sequential approach of Gradient Boosting, building and tuning your first powerful boosting model.

Course 2

XGBoost for Beginners

4 lessons

14 practices

You'll use the popular XGBoost library to build faster, more accurate models. You'll learn to control model complexity, prevent overfitting with early stopping, and automate parameter tuning with Grid Search for peak performance.

Course 3

LightGBM Made Simple

3 lessons

12 practices

You'll explore LightGBM's unique architecture, focusing on its efficient leaf-wise tree growth and histogram-based algorithms. You'll learn how to leverage its key parameters for model control, compare its performance to other boosting libraries, and gain hands-on experience.

Scan to download

Other paths you may like

Fundamental Coding Interview Prep with Python

Introduction to Programming with Python

Mastering Algorithms and Data Structures in Python

Advanced Coding Interview Preparation with Python

Full-Stack Engineering with JavaScript

Prompt Engineering for Everyone

Journey into Data Science with Python

Java Programming for Beginners

Company

About Careers Leadership Talent Science Newsroom

Collections

Generative AI Business & Leadership Interview Prep AI & Machine Learning Learn to Code Data Science & Engineering

Platform

Platform Overview Skills Assessments Live Tech Interviews AI Interviewer AI Role-Play AI Tutoring with Cosmo

Roles

Talent Acquisition Engineering Leaders Sales Leaders CS & Support Leaders IO Psychologists Individuals

Resources

Resource Library Blog Customer Stories Interview Prep API Docs

Support

Copyright © 2026 CodeSignal

Privacy Terms Compliance & Trust

From our community

Hear what our customers have to say about CodeSignal Learn

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

I love that it's personalized. When I'm stuck, I don't have to hope my Google searches come out successful. The AI mentor Cosmo knows exactly what I need.

Faith Yim

Software Engineer

+14

It's an amazing product and exceeded my expectations, helping me prepare for my job interviews. Hands-on learning requires you to actually know what you are doing.

Alex Bush

Full Stack Engineer

+9

I'm really impressed by the AI tutor Cosmo's feedback about my code. It's honestly kind of insane to me that it's so targeted and specific.

Abbey Helterbran

Tech consultant

+8

I tried Leetcode but it was too disorganized. CodeSignal covers all the topics I'm interested in and is way more structured.

Jonathan Miller

Senior Machine Learning Engineer

+12

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

name

Francisco Aguilar Meléndez

Data Scientist

+11