XGBoost Courses and Certifications

Ensemble Methods from Scratch

Master ensemble methods by building Bagging, Random Forest, AdaBoost, and Gradient Boosting implementations from scratch. Learn to enhance predictive models through hands-on coding without relying on libraries.

• CodeSignal
• On-Demand
• Free Certificate

Trees, SVM and Unsupervised Learning

Explore support vector machines, neural networks, decision trees, and XG boost for predictive modeling. Learn data representation through PCA and clustering for practical applications in data science.

• Coursera
• 12 hours 58 minutes
• On-Demand
• Free Online Course (Audit)

Machine Learning using Python

489 ratings at Udemy

Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in Python

• Udemy
• 18 hours 49 minutes
• On-Demand
• Paid Course

Complete Machine Learning with R Studio - ML for 2024

2519 ratings at Udemy

Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language - R studio

• Udemy
• 12 hours 1 minute
• On-Demand
• Paid Course

Credit Risk Modeling in Python

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Modern Artificial Intelligence Masterclass: Build 6 Projects

1371 ratings at Udemy

Harness the power of AI to solve practical, real-world problems in Finance, Tech, Art and Healthcare

• Udemy
• 15 hours 48 minutes
• On-Demand
• Paid Course

Decision Trees, Random Forests, AdaBoost & XGBoost in Python

963 ratings at Udemy

Decision Trees and Ensembling techniques in Python. How to run Bagging, Random Forest, GBM, AdaBoost & XGBoost in Python

• Udemy
• 7 hours 19 minutes
• On-Demand
• Paid Course

Practical Machine Learning with Scikit-Learn

334 ratings at Udemy

Learn the most powerful machine learning algorithms in under an hour

• Udemy
• 1 hour 7 minutes
• On-Demand
• Free Online Course

Decision Trees, Random Forests, Bagging & XGBoost: R Studio

235 ratings at Udemy

Decision Trees and Ensembling techinques in R studio. Bagging, Random Forest, GBM, AdaBoost & XGBoost in R programming

• Udemy
• 5 hours 54 minutes
• On-Demand
• Paid Course

2025 Machine Learning & Data Science for Beginners in Python

193 ratings at Udemy

Data Science Projects with Linear Regression, Logistic Regression, Random Forest, SVM, KNN, KMeans, XGBoost, PCA etc

• Udemy
• 1 day 8 hours 5 minutes
• On-Demand
• Paid Course

Extreme Gradient Boosting with XGBoost

33 ratings at DataCamp

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Supervised Learning in R: Regression

13 ratings at DataCamp

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Intermediate Machine Learning

1 review

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

• Kaggle
• 4 hours
• On-Demand
• Free Certificate

XGBoost

Learn to implement XGBoost for regression and classification, explore its mathematical foundations, and master advanced optimizations in Python.

• YouTube
• 2 hours 30 minutes
• On-Demand
• Free Video

Applied Machine Learning: Algorithms

38 ratings at LinkedIn Learning

Learn about common machine learning algorithms, their pros and cons, and develop hands-on skills to leverage them.

• LinkedIn Learning
• 1 hour 58 minutes
• On-Demand
• Free Trial Available