Gradient Boosting Courses and Certifications

Machine Learning in Healthcare: Fundamentals & Applications

Explore data mining in healthcare with Northeastern University's 4-week course. Learn AI, machine learning, and programming skills to solve real-world problems.

• Coursera
• 18 hours 23 minutes
• On-Demand
• Free Online Course (Audit)

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

223 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

Modeling Time Series and Sequential Data

Learn to build, refine, and interpret models for sequential series with SAS's 8-week course. Covers Box-Jenkins, Bayesian, and machine learning approaches. Prior knowledge of Bayesian analysis and machine learning models is beneficial.

• Coursera
• 10 hours 52 minutes
• On-Demand
• Free Online Course (Audit)

Decision Trees, Random Forests & Gradient Boosting in R

46 ratings at Udemy

Predictive models with machine learning wit Rstudio´s ROCR, XGBoost, rparty. Bonus: Neural Networks for Credit Scoring

• Udemy
• 5 hours 57 minutes
• On-Demand
• Paid Course

Machine Learning for Malware Detection

Machine Learning for Malware Detection - 1 - Introduction. The Malware Dataset - Part 2. The Portable Executable (PE) Files. Coding the Classifier - Part 1. The Classifier and Gradient Boosting - Part 3. The classifier and gradients - Part 4.

• YouTube
• 30 minutes
• On-Demand
• Free Online Course

Machine Learning with Python: Zero to GBMs

"Machine Learning with Python: Zero to GBMs" is a practical and beginner-friendly introduction to supervised machine learning, decision trees, and gradient boosting using Python.

• Jovian
• On-Demand
• Free Online Course

Great Learning

Boosting

Master ensemble learning and boosting with Great Learning's online program. Gain a solid foundation in machine learning, understand bias and variance, and explore various classifiers. Free certificate included.

• YouTube
• 1 hour 44 minutes
• On-Demand
• Free Online Course

Open Data Science

Recent Advances in Machine Learning with Applications to Internet of Things - Adam McElhinney

Explore the application of machine learning to IoT with Open Data Science. Understand failure prediction, the value of IoT, and the challenges of data-driven approaches. Less than 1-hour workload.

• YouTube
• 33 minutes
• On-Demand
• Free Online Course

MITCBMM

Machine Learning Techniques and Applications in Finance, Healthcare and Recommendation Systems

Explore machine learning techniques with MITCBMM, focusing on applications in finance, healthcare, and recommendation systems. Learn from award-winning scientist David Vogel. Less than 1-hour workload.

• YouTube
• 39 minutes
• On-Demand
• Free Online Course

EuroPython Conference

Walking the Random Forest and Boosting the Trees

Explore ensemble models with EuroPython Conference's under 1-hour material. Learn about Random Forest and Gradient Boosting, their theory, and Python implementation.

• YouTube
• 24 minutes
• On-Demand
• Conference Talk

EuroPython Conference

CatBoost - The New Generation of Gradient Boosting

Learn about CatBoost, a new generation of Gradient Boosting, from Anna Veronika Dorogush at the EuroPython Conference. Understand its applications, advantages, and comparison with other libraries in under an hour.

• YouTube
• 42 minutes
• On-Demand
• Conference Talk

WeAreDevelopers

Data-Driven Ecosystems in the Automotive Industry

Explore BMW's technology stack, machine learning use cases, and data challenges in this under 1-hour material from WeAreDevelopers.

• YouTube
• 43 minutes
• On-Demand
• Conference Talk

Scikit-Learn For Machine Learning Classification Problems

Learn to build and train classifier models using the Scikit-Learn library in this 1-2 hour Coursera Project Network course. Explore various machine learning algorithms.

• Coursera
• 1 hour 48 minutes
• On-Demand
• Paid Course

Mining Quality Prediction Using Machine & Deep Learning

61 ratings at Coursera

Learn to predict mining quality using machine and deep learning in this 1.5-hour project-based course by Coursera. Master regression models, data analysis, and neural networks.

• Coursera
• 1 hour 55 minutes
• On-Demand
• Paid Course

Scikit-Learn to Solve Regression Machine Learning Problems

Learn to build and train regression models using Scikit-Learn in this 1-2 hour Coursera Project Network course. Ideal for enhancing your portfolio and job interviews.

• Coursera
• 1 hour 56 minutes
• On-Demand
• Paid Course