Ensemble Methods Courses and Certifications

Supervised Machine Learning: Classification

466 ratings at Coursera

Learn to train and evaluate classification models, including logistic regression, decision trees, and ensembles. Gain hands-on experience with best practices like handling unbalanced classes and using various error metrics.

• Coursera
• 1 day 17 minutes
• Self-Paced
• Paid Course

Data Analytics Foundations for Accountancy II

11 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 1 minute
• Self-Paced
• Paid Course

Introduction to Machine Learning: Supervised Learning

41 ratings at Coursera

Explore supervised ML algorithms, prediction tasks, and model selection. Learn to improve performance using linear/logistic regression, KNN, decision trees, ensembling methods, and kernel techniques like SVM.

• Coursera
• 22 hours 48 minutes
• Self-Paced
• Paid Course

Ensemble Machine Learning in Python: Random Forest, AdaBoost

2654 ratings at Udemy

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

• Udemy
• 5 hours 48 minutes
• Self-Paced
• Paid Course

Regression Analysis

10 ratings at Coursera

Master regression analysis techniques to model relationships, prevent overfitting, and make data-driven decisions. Explore linear and polynomial regression, regularization, cross-validation, and ensemble methods through hands-on practice.

• Coursera
• 1 day 16 hours 1 minute
• Self-Paced
• Paid Course

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 59 minutes
• Self-Paced
• Paid Course

Advanced AI and Machine Learning Techniques and Capstone

50 ratings at Coursera

Master advanced AI techniques, from ensemble methods to ethical GenAI implementation, while building scalable systems and completing a real-world capstone project using Microsoft Azure.

• Coursera
• 1 day 8 hours 57 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

Machine Learning with Scikit-learn, PyTorch & Hugging Face

30 ratings at Coursera

Master machine learning from foundations to generative AI using Python, scikit-learn, PyTorch & Hugging Face through hands-on projects and real-world applications.

• Coursera
• 20 weeks, 7 hours/week
• Self-Paced
• Paid Course
• 5 courses

Decision Trees, Random Forests, AdaBoost & XGBoost in Python

1039 ratings at Udemy

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

• Udemy
• 7 hours 20 minutes
• Self-Paced
• Paid Course

EDUCBA

AI & Predictive Analytics with Python

19 ratings at Coursera

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
• Self-Paced
• Paid Course

EDUCBA

Machine Learning with R: Build, Analyze & Predict

16 ratings at Coursera

Master machine learning foundations and R programming through hands-on practice with regression, classification, decision trees, and ensemble methods for real-world data analysis.

• Coursera
• 12 hours 31 minutes
• Self-Paced
• Paid Course

Fractal Analytics

Advanced Machine Learning Algorithms

12 ratings at Coursera

Explore advanced machine learning algorithms, from regularization to ensemble methods. Master feature engineering, hyperparameter tuning, and model selection for enhanced predictive accuracy and real-world applications.

• Coursera
• 20 hours 43 minutes
• Self-Paced
• Paid Course

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
• Self-Paced
• Paid Course

Coursera

Advanced Machine Learning Techniques

Master ensemble methods, dimensionality reduction, NLP, reinforcement learning, and AutoML using industry-standard tools like Scikit-learn, XGBoost, and PyTorch for real-world AI applications.

• Coursera
• 1 day 9 hours 42 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

AI Engineering Masterclass: From Zero to AI Hero

Master AI engineering from Python basics to advanced neural networks, deep learning, and real-world applications like image classification and sentiment analysis.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses