Ensemble Learning Courses and Certifications

Ensembles in Machine Learning

Master ensemble learning techniques like bagging, boosting, and stacking to enhance predictive modeling performance, from Random Forests to Gradient Boosting and AdaBoost implementations.

• CodeSignal
• On-Demand
• Free Certificate

Ensemble Machine Learning in Python: Random Forest, AdaBoost

2452 ratings at Udemy

Ensemble Methods: Boosting, Bagging, Boostrap, and Statistical Machine Learning for Data Science in Python

• Udemy
• 5 hours 47 minutes
• On-Demand
• Paid Course

Decision Trees and Ensemble Methods

Explore decision trees, ensemble methods, and advanced techniques like random forests and boosting algorithms for improved machine learning model performance.

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

Applied Machine Learning: Ensemble Learning

166 ratings at LinkedIn Learning

Explore how to make powerful, accurate predictions with ensemble learners, one of the most common classes of machine learning algorithms.

• LinkedIn Learning
• 2 hours 26 minutes
• On-Demand
• Free Trial Available

Great Learning

Ensemble Learning - Decision Tree Algorithm - Gini Index

Master ensemble learning techniques, decision trees, and boosting methods. Hands-on demos with real datasets enhance understanding of these powerful machine learning concepts for improved model performance.

• YouTube
• 3 hours 24 minutes
• On-Demand
• Free Video

DigitalSreeni

Improving Semantic Segmentation - U-Net Performance via Ensemble of Multiple Trained Networks

Enhance U-Net performance for semantic segmentation using ensemble methods with ResNet34, Inception V3, and VGG16 networks. Includes code, dataset, and practical implementation tips.

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

Software Engineering Courses - SE Courses

Logistic Regression and Ensemble Learning - Bagging and Boosting - AdaBoost

Explore logistic regression, ensemble learning, bagging, and boosting in this AI/ML course. Learn AdaBoost and decision stumps for strong non-linear classification.

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

Few-Shot Chest X-Ray Diagnosis Using Clinical and Literature Images

Explore innovative few-shot learning methods for chest X-ray diagnosis using clinical and literature images, enhancing radiology image analysis with advanced machine learning techniques.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Introduction to Machine Learning in Sports Analytics

22 ratings at Coursera

Explore supervised machine learning techniques using Python and real athletic data to predict sports outcomes, applying methods like SVM, decision trees, and ensembles to analyze professional leagues and wearable device data.

• Coursera
• 12 hours 55 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Machine Learning using Microsoft Azure

Explore machine learning fundamentals and hands-on Azure ML Studio training, covering data preparation, model development, and responsible AI principles.

• Udacity
• 8 weeks
• On-Demand
• Free Online Course

Microcredential

Introduction to Machine Learning with SciKit Learn

Master machine learning fundamentals using SciKit-learn, from data preprocessing through advanced model evaluation, including regression, classification, ensemble methods and hyperparameter tuning.

• CodeSignal
• On-Demand
• Free Certificate
• 7 courses

Advanced Methods in Machine Learning Applications

Master advanced machine learning techniques for complex problem-solving. Explore ensemble learning, regression analysis, unsupervised learning, and reinforcement learning. Gain practical skills to implement and optimize sophisticated models.

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

Data Analytics Foundations for Accountancy II

10 ratings at Coursera

Explore machine learning concepts, algorithms, and practical applications in data analytics using Python. Gain skills in classification, regression, clustering, and anomaly detection for business insights.

• Coursera
• 2 days 22 hours 11 minutes
• On-Demand
• Free Online Course (Audit)

Ensemble Methods in Python

1 review

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

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

Machine Learning Made Easy : Beginner to Advanced using R

81 ratings at Udemy

Learn Machine Learning Algorithms using R from experts with hands on examples and practice sessions. With 5 different pr

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