Ensemble Methods Courses and Certifications

UofU Data Science

Boosting: Creating Strong Learners from Weak Learners - Lecture 17

Dive into AdaBoost algorithm and the concept of boosting to transform weak learners into strong ones in machine learning applications.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

ACM SIGPLAN

Quantization with Guaranteed Floating-Point Neural Network Classifications

Discover CoMPAQt algorithm for neural network quantization that guarantees classification consistency while reducing computational costs by up to 4.1x through verification techniques.

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

Predicting CTR with Machine Learning in Python

Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Credential

Implementing AI Algorithms from Scratch

292 ratings at CodeSignal

Master the fundamentals of AI by implementing machine learning algorithms from scratch, covering regression, classification, optimization, ensemble methods, clustering, and neural networks with hands-on coding.

• CodeSignal
• 21 hours
• Self-Paced
• Free Certificate
• 6 courses

Credential

Introduction to Machine Learning with SciKit Learn

267 ratings at CodeSignal

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

• CodeSignal
• 18 hours
• Self-Paced
• Free Certificate
• 7 courses

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
• Self-Paced
• 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
• Self-Paced
• Free Video

Hypertuning and Cross-Validation

Master hyperparameter optimization techniques through grid search, random search, and cross-validation methods to enhance machine learning model performance and achieve optimal results.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

London School of Economics and Political Science

Machine Learning: Practical Applications

Acquire technical machine learning skills to solve business challenges using regression, classification, neural networks, and R programming for data-driven decision making.

• GetSmarter
• 8 weeks, 9 hours/week
• 24th Jun, 2026
• Paid Course

Advanced Modeling for Text Classification

Master advanced text classification using ensemble methods, deep learning, and neural networks with Python and TensorFlow. Build robust models using bagging, voting classifiers, gradient boosting, and RNNs for improved performance.

• CodeSignal
• 6 hours
• Self-Paced
• Free Certificate

Foundations of Gradient Boosting

Master gradient boosting by building decision trees, creating ensembles, and understanding feature importance through hands-on banking data analysis and model optimization.

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

XGBoost for Beginners

Master XGBoost fundamentals to build faster, accurate models with parameter tuning, early stopping techniques, and native interface configuration for optimal performance.

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

Evaluation Metrics & Advanced Techniques for Imbalanced Data

Master evaluation metrics and advanced techniques for handling imbalanced datasets, including cost-sensitive learning, ensemble methods, and anomaly detection strategies.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Credential

Mastering Gradient Boosting with XGBoost & LightGBM

Master gradient boosting techniques using XGBoost, LightGBM, and CatBoost to build, tune, and interpret powerful models for real-world classification problems with hands-on practice.

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

Credential

Implementing AI Algorithms from Scratch in C++ (Part 2)

Master ensemble methods, unsupervised learning, clustering, and neural networks by implementing AI algorithms from scratch in C++ using mlpack for hands-on expertise.

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