On-demand Webinar

SAS JMP Predictive Modelling Webinar


About the webinar

During this webinar, we will learn better ways to explore patterns, uncover relationships and screen the most influential factors to make conclusions from your data.

Decision trees use classification or partition as the basis for a predictive model, enabling us to easily identify non-linear relationships between factors and response.

Discover how you can easily create decision trees (with interactivity!) for further optimization and interpretation in JMP with zero coding.

Join this one-hour webinar and learn more about:

  • Decision trees (also called recursive partitioning, CHAID or CART).
  • Classification and regression.
  • Partitioning.
  • Bootstrap forests JMP® Pro (also known as random forest technique).
  • Boosted trees JMP® Pro.
  • Model screening JMP® Pro.

You are only one webinar away from creating your own decision trees for better decision making! Hear from our senior JMP expert with over 10 years experience as principal statistician in quality assurance and regulatory affairs based in Sydney!

Who should attend?

  • Anyone interested in gaining greater insights from data mining and predictive modelling techniques. Especially relatable to scientists and analysts from the health and life science sector.

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About the Expert

Bass Masri - Systems Engineer, Australia and New Zealand

Certified Lean Six Sigma Black Belt and PRINCE2 Project Management with over ten years as Principal Statistician in Quality Assurance and Regulatory Affairs. Bass holds a Bachelor’s Degree in Science and a Masters in Applied Statistics from Macquarie University.

Bass has a strong passion for statistical techniques and more than twenty years of work experience in electrical engineering, applied science and process improvement.

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