JMP Academic - Teaching Predictive Modeling

Post comments and access the JMP files here: https://community.jmp.com/t5/Learn-JMP-Events/Teaching-Predictive-Modeling/ev-p/826093 Predictive modeling encompasses a range of techniques for using historical data to predict future outcomes, and it has applications in nearly all quantitative disciplines. The JMP Student Edition has robust predictive modeling capabilities, including a range of algorithms for classification and regression, automated model cross-validation, and model comparison and deployment. And it’s no-code interface makes advanced predictive modeling approachable to students of varied backgrounds. This webinar demonstrates tools and tips for teaching predictive modeling with the JMP Student Edition. Topics will include: - Fitting a variety of model types (e.g., decision trees, neural nets) - Visualizations for interpreting models - Model cross-validation and comparison - The Torch Deep Learning add-in for deep neural nets (including image classification) - JMP teaching tips and resources Recorded April 3, 2025. Register for upcoming live JMP Academic webinars at https://www.jmp.com/academic-webinars. Get JMP software free for academic use: https://www.jmp.com/student JMP Academic resources: https://www.jmp.com/academic