Model Selection Courses and Certifications

Getting Started with Mistral

Explore Mistral AI models, learn effective prompting, function calling, and RAG. Build a chat interface to leverage these powerful tools for various tasks from classification to advanced coding.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

MITCBMM

FMRI Bootcamp - Representational Similarity

Explore advanced fMRI analysis techniques, focusing on representational similarity and its applications in neuroimaging research.

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

Google Gemini Model Selection

Google's Gemini, a groundbreaking family of large language models, offers immense potential for tackling diverse tasks using the power of AI.

• Pluralsight
• 23 minutes
• On-Demand
• Free Trial Available

Claude 3 Model Selection

Claude.ai offers many model types. This course will teach you what differences exist between the models, and which model type is the best for a given task.

• Pluralsight
• 12 minutes
• On-Demand
• Free Trial Available

Regression Models

33 reviews

Explore linear and generalized regression models, covering least squares, multivariable analysis, diagnostics, and applications in data science. Learn to interpret results and select appropriate models.

• Coursera
• 54 hours
• On-Demand
• Free Online Course (Audit)

Statistical Learning with Python

9 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)

Introduction to Predictive Modeling

105 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
• Free Online Course (Audit)

Microcredential

Statistical Learning for Data Science

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

Population Health: Predictive Analytics

23 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
• Free Online Course (Audit)

Time Series Analysis in Python

2630 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

2250 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

PyTorch and Deep Learning for Decision Makers

Explore PyTorch's ecosystem for AI applications, focusing on data quality, model selection, and deployment challenges to make informed decisions in integrating AI into business processes.

• edX
• 7 weeks, 1-2 hours a week
• On-Demand
• Free Online Course (Audit)

Product Marketing: Creating Compelling Brand Imagery

Learn to create compelling brand imagery through planning, executing, and selecting photos that tell your product's story and engage customers effectively.

• Skillshare
• 59 minutes
• 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

Fractal Analytics

Advanced Machine Learning Algorithms

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
• On-Demand
• Free Online Course (Audit)