XGBoost Courses and Certifications

Extreme Gradient Boosting with XGBoost

273 ratings at DataCamp

Do you know the basics of supervised learning and want to use state-of-the-art models on real-world datasets?

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

XGBoost for Beginners

Build and optimize XGBoost models using complexity controls, early stopping, evaluation metrics, and automated grid search.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

XGBoost

Learn XGBoost through regression, classification, mathematical details, optimizations, and an end-to-end Python implementation.

• YouTube
• 2 hours 30 minutes
• Self-Paced
• Free Video

StatQuest with Josh Starmer

XGBoost Part 2 - Classification

Explains how XGBoost builds classification trees using similarity scores, gain, cover, pruning, and leaf outputs.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

StatQuest with Josh Starmer

XGBoost Part 1 - Regression

Learn how XGBoost builds and prunes regularized regression trees, calculates similarity scores and gain, and updates predictions with leaf outputs and a learning rate.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Julia Silge

Tuning XGBoost Using Tidymodels

Tune XGBoost hyperparameters in tidymodels using beach volleyball data, from reshaping gameplay statistics through space-filling search and final model evaluation.

• YouTube
• 51 minutes
• Self-Paced
• Free Video

StatQuest with Josh Starmer

XGBoost Part 4 - Crazy Cool Optimizations

Explains how XGBoost accelerates training on large datasets through approximate splitting, weighted quantile sketches, sparse-data handling, cache-aware access, and out-of-core computation.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

DigitalSreeni

What Is XGBoost and Is It Really Better Than Random Forest and Deep Learning?

Learn how XGBoost builds on gradient boosting and compare its classification performance with random forests and deep learning.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Python Simplified

Real-World Machine Learning Project with XGBoost and NVIDIA GPU

Master real-world machine learning with XGBoost and NVIDIA GPU acceleration using NYC taxi data to predict tipping patterns while handling big data challenges professionally.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Julia Silge

Tune XGBoost With Early Stopping to Predict Shelter Animal Status

Tune an XGBoost multiclass model with early stopping to reduce overfitting while predicting shelter-animal outcomes.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Anyscale

Scaling Distributed XGBoost and Parallel Data Ingestion with Ray - FlightAware Case Study

Scale distributed XGBoost and parallel data ingestion for runway prediction using Ray and AWS. Learn to organize training data, configure fault-tolerant clusters, and optimize costs for processing terabytes of aircraft data.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

MLOps.community

LLM vs XGBoost - Comparing Fine-Tuned LLMs and XGBoost on Tabular Data Classification

Explore LLM performance vs XGBoost for tabular data classification. Compare fine-tuned LLM predictions with traditional ML algorithms in this data science experiment.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Nvidia

Accelerated Machine Learning with XGBoost and RAPIDS on NVIDIA GPUs

Master XGBoost training and inference optimization using RAPIDS on NVIDIA GPUs, achieving 25x faster performance through hands-on practice with real taxi fare data in Google Colab.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

Rob Mulla

Supercharged Hyperparameter Tuning with GPU Accelerated XGBoost and Optuna

Master hyperparameter tuning for XGBoost using Optuna optimization and leverage GPU acceleration for 5-15x faster model training with practical examples and visualizations.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Great Learning

Introduction to XGBoost - Machine Learning Tutorial

Comprehensive tutorial on XGBoost: from basic principles to hands-on implementation. Learn gradient boosting, parameter tuning, and model evaluation for real-world machine learning applications.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video