Ensemble Methods Courses and Certifications

Basics of Machine Learning

"Basics of Machine Learning" introduces participants to the fundamental concepts and tools of machine learning, including probability density estimation, linear regression, classification techniques, ensemble methods, and deep neural networks.

• edX
• 8 weeks, 6-8 hours a week
• On-Demand
• Free Online Course (Audit)

Machine Learning for Smart Beta

Explore smart beta products, recreate MSCI Enhanced Value Index, and apply machine learning techniques to create improved multi-factor models for investment strategies using R programming.

• Coursera
• 7 hours 30 minutes
• On-Demand
• Paid Course

EDUCBA

AI & Predictive Analytics with Python

Master AI and predictive analytics using Python, from ensemble methods and clustering to supervised learning, logic programming, and NLP with hands-on real-world applications.

• Coursera
• 11 hours 21 minutes
• On-Demand
• Paid Course

EDUCBA

Credit Default Prediction with Python: Apply & Analyze

Master credit default prediction using Python through logistic regression, decision trees, and ensemble methods with hands-on data preprocessing and model optimization techniques.

• Coursera
• 5 hours 52 minutes
• On-Demand
• Paid Course

Coursera Microcredential

GenAI Ops: Running Powerful Generative AI Systems

Master end-to-end GenAI operations: governance, deployment, security, infrastructure, and cost optimization for enterprise-scale AI systems in production environments.

• Coursera
• 8 weeks, 10 hours a week
• On-Demand
• Paid Course
• 6 courses

Coursera

Optimizing and Governing AI Systems

Master AI optimization and governance through hands-on model monitoring, bias mitigation, ensemble design, and enterprise policy frameworks for responsible deployment.

• Coursera
• 12 hours 36 minutes
• On-Demand
• Paid Course

Packt

Applied Machine Learning and Model Optimization

Master advanced ML algorithms, hyperparameter tuning, and model optimization techniques through hands-on projects with XGBoost, ensemble methods, and real-world applications.

• Coursera
• 21 hours 9 minutes
• On-Demand
• Paid Course

Coursera Microcredential

Statistical Inference & Predictive Modeling Foundations

Master statistical inference and predictive modeling through A/B testing, regression, neural networks, and ensemble methods to drive data-driven business decisions.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 8 courses

Coursera

Apply AI Techniques & Prescriptives

Unlock AI-powered decision intelligence by mastering ensemble techniques, evaluating model trade-offs, and implementing optimization frameworks for strategic business impact.

• Coursera
• 2 hours 59 minutes
• On-Demand
• Paid Course

Machine Learning: Classification

This course covers key supervised machine learning (ML) and classification techniques, including logistic regression, decision trees, ensemble methods, and handling unbalanced datasets. Build and evaluate classification models using real-world data.

• edX
• 2 weeks, 30-35 hours a week
• On-Demand
• Free Online Course (Audit)

Coursera

Grow Trees & Powerful Ensembles

Master advanced tree-based modeling with CART construction, ensemble methods (bagging, boosting, stacking), and production deployment assessment using scikit-learn and XGBoost.

• Coursera
• 4 hours 5 minutes
• On-Demand
• Paid Course

Edureka

Getting Started with Automated Machine Learning (AutoML)

Master automated machine learning with H2O AutoML to build, evaluate, and deploy ML models efficiently without manual trial-and-error approaches.

• Coursera
• 10 hours 35 minutes
• On-Demand
• Paid Course

UofU Data Science

Boosting and Ensemble Methods in Machine Learning - Lecture 18

Dive into boosting algorithms and learn how to combine weak learning rules to create powerful predictive models in machine learning applications.

• YouTube
• 35 minutes
• On-Demand
• Free Video

UofU Data Science

Machine Learning: Boosting and Ensemble Methods - Lecture 19

Dive into advanced boosting techniques and ensemble methods to transform weak learning algorithms into powerful predictive models for enhanced machine learning capabilities.

• YouTube
• 1 hour 18 minutes
• On-Demand
• Free Video

Machine Learning and AI Foundations: Advanced Decision Trees with KNIME

11 ratings at LinkedIn Learning

Learn to go beyond the basic decision tree algorithms in KNIME by accessing WEKA, R, and Python-based decision tree and rule induction algorithms from within the KNIME platform.

• LinkedIn Learning
• 1 hour 33 minutes
• On-Demand
• Free Trial Available