Model Selection Courses and Certifications

International Centre for Theoretical Sciences

Fitting High-dimensional Data and Model Selection - Lecture

Explore techniques for fitting high-dimensional data and selecting appropriate models in biological evolution, focusing on polygenic adaptation and phenotypic variation.

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

Toronto Machine Learning Series (TMLS)

Optimizing Large Language Model Selection for Efficient GenAI Development

Discover practical tools and strategies for selecting optimal LLMs in GenAI development, exploring DSPy and frugalGPT frameworks for cost-effective and efficient implementation.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

Azure AI Foundry: Effortless Model Selection - Explore, Swap and Scale Faster

Explore Azure AI Foundry's enhanced model catalog, featuring Tsuzumi and Bria, while learning about enterprise-ready features including VNet integration, AAD authentication, and customizable domain-specific SLM capabilities.

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

Variable Selection, Model Validation, Nonlinear Regression

Master advanced regression techniques for data-driven industries. Learn logistic, Poisson, and robust regression, generalized linear models, and model validation using R for practical applications.

• Coursera
• 20 hours 43 minutes
• On-Demand
• Paid Course

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
• On-Demand
• Free Certificate

Supervised Machine Learning

This practical course is designed for individuals who utilise data to make informed decisions and wish to enhance their decision-making skills.

• OpenLearning
• 20 hours
• On-Demand
• Paid Course

Python Machine Learning Advanced

Master advanced machine learning techniques using Python, including deep learning, ensemble methods, and model optimization for complex real-world applications.

• VDCI
• 30 hours
• On-Demand
• $1,895.00

Time Series Analysis in Python

2853 ratings at Udemy

Time Series Analysis in Python: Theory, Modeling: AR to SARIMAX, Vector Models, GARCH, Auto ARIMA, Forecasting

• Udemy
• 7 hours 21 minutes
• On-Demand
• Paid Course

Machine Learning- From Basics to Advanced

2333 ratings at Udemy

A beginners guide to learn Machine Learning (including Hands-on projects - From Basic to Advance Level)

• Udemy
• 6 hours 49 minutes
• On-Demand
• Paid Course

Statistical Learning with Python

24 ratings at edX

Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in Python.

• edX
• 11 weeks, 3-5 hours a week
• On-Demand
• Free Online Course (Audit)

Statistical Learning with R

Master supervised and unsupervised learning techniques using R, from linear regression to deep learning, with hands-on implementation of modern data science methods.

• YouTube
• 20 hours 28 minutes
• On-Demand
• Free Video

Introduction to Predictive Modeling

143 ratings at Coursera

Learn predictive modeling with linear regression and time series forecasting using Excel. Gain practical skills in data preparation, model fitting, interpretation, and forecasting for real-world decision-making.

• Coursera
• 12 hours 22 minutes
• On-Demand
• Paid Course

Microcredential

Statistical Learning for Data Science

20 ratings at Coursera

Gain advanced statistical learning techniques for data science, including model selection, regression, classification, and unsupervised learning. Develop skills to explain and justify models effectively.

• Coursera
• 16 weeks, 9 hours a week
• On-Demand
• Paid Course
• 3 courses

GenAI Life Cycle for Business Professionals

190 ratings at Udemy

Master the GenAI lifecycle from problem definition to deployment - practical frameworks for strategic decision-makers

• Udemy
• 1 hour 49 minutes
• On-Demand
• Paid Course

Population Health: Predictive Analytics

25 ratings at Coursera

Learn to develop and assess accurate prediction models for healthcare decision-making, covering study design, modeling techniques, and validation methods to improve preventive measures and individualized treatments.

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