XGBoost Courses and Certifications

Career Certificate

Mastering Gradient Boosting with XGBoost & LightGBM

Learn to build, tune, and interpret gradient-boosting classifiers with scikit-learn, XGBoost, LightGBM, and CatBoost.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate
• 3 courses

Rob Mulla

Time Series Forecasting with XGBoost - Use Python and Machine Learning to Predict Energy Consumption

Forecast energy consumption with XGBoost by preparing time-series data, creating features, and examining feature importance in Python.

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

Julia Silge

Predict Housing Prices in Austin TX with Tidymodels and XGBoost

Use text from Austin real-estate listings as engineered indicators in an XGBoost multiclass model of home-price ranges.

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

Rob Mulla

Time Series Forecasting with XGBoost - Advanced Methods

Explore advanced XGBoost techniques for time series forecasting, including outlier removal, time-series cross-validation, lag features, and future prediction.

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

Supervised Machine Learning in Python

Master the fundamentals of supervised machine learning and discover how to make predictions using labeled data.

• DataCamp
• 1 day 1 hour
• Self-Paced
• Free Trial Available

Julia Silge

Feature Engineering & Interpretability for XGBoost with Board Game Ratings

Use custom feature engineering, tuned XGBoost, and SHAP-based plots to predict board-game ratings and explain nonlinear model behavior.

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

echohive

Kaggle with XGBoost, GPT-3, Chat GPT, and GitHub Copilot

Solving a Kaggle challenge with XGBoost code generated and refined by GPT-3, ChatGPT, and GitHub Copilot.

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

Eran Feit

Object Classification Using VGG16 and XGBoost for Vehicle Classification with TensorFlow

Learn to classify vehicles using VGG16 and XGBoost in TensorFlow. Covers data preparation, feature extraction, model training, and testing. Gain practical skills in object classification and deep learning.

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

Augmented Startups

Build a Powerful Backend for Soil Fertility Analysis - Flask, XGBoost, and GPT Integration

Master backend development for soil analysis by integrating Flask APIs, XGBoost models, and GPT-powered insights. Create robust endpoints for IoT sensor data processing and AI-driven agricultural recommendations.

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

DigitalSreeni

Understanding Model Predictions with SHAP - XGBoost vs Neural Networks

Discover how SHAP explains machine learning predictions using game theory concepts, comparing XGBoost and neural networks on breast cancer data for interpretable AI decisions.

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

Fixing Classical Models – Diagnosis & Regularization

Diagnose and improve weak classical machine learning models by fixing evaluation, tuning regularization and tree capacity, and applying early stopping to reduce overfitting.

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

Coursera

Employee Attrition Prediction Using Machine Learning

15 ratings at Coursera

Build, train and test models predicting employee attrition from job satisfaction, commute distance, compensation and performance, using logistic regression and XGBoost classifiers.

• Coursera
• 2 hours 4 minutes
• Self-Paced
• Paid Course

Coursera

Diabetes Disease Detection with XG-Boost and Neural Networks

10 ratings at Coursera

Build, train and test models that predict whether a patient has diabetes from pregnancies, insulin levels, BMI, age and blood pressure, using XG-Boost and artificial neural networks.

• Coursera
• 2 hours 1 minute
• Self-Paced
• Paid Course

Board Infinity

Mastering Tabular ML: Feature Engineering to Production

Build a ride-hailing dynamic pricing engine: engineer 150+ features with Featuretools, master XGBoost and LightGBM internals, tune with Optuna, stack ensembles, and deploy via FastAPI.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Intermediate Machine Learning

2 ratings

Handle missing values, non-numeric values, data leakage, and more.

• Kaggle
• 4 hours
• Self-Paced
• Free Certificate