The course covers the skills required to develop, assess, tune, compare, and score predictive models using JMP Pro software.
Aprenda como
- Build and understand predictive models such as generalized regression models, k-nearest neighbors, naïve Bayes, support vector machines, decision trees, and neural networks.
- Compare and explain complex models.
- Score new data in JMP and generate score code for use in other software.
Quem poderá participar
Data scientists, data analysts, qualitative experts, and others who want to learn and use predictive modeling using JMP Pro
Before attending this course, it is recommended that you complete the JMP® Software: A Case Study Approach to Data Exploration and JMP® Software: Statistical Decisions Using ANOVA and Regression courses or have equivalent experience.
Este curso aborda JMP software.