Predictive Analytics brings together advanced analytics capabilities spanning ad-hoc statistical analysis, predictive modeling, data mining, text analytics, entity analytics, optimization, real-time scoring, machine learning and more. IBM SPSS Modeler puts these capabilities into the hands of business users, data scientists, and developers.In this course in the Big Data University you will learn the basics to get started with Predictive Modeling.
Overview
Syllabus
After completing this course, you should be able to:
- Describe what Predictive Modeling is all about and know why you would want to use it
- Understand the CRISP-DM methodology and the IBM SPSS Modeler Workbench
- Understand Common Modeling Techniques
- Use IBM SPSS Modeler to solve a Kaggle competition
- Explore, Prepare, Model and Evaluate your data using IBM SPSS Modeler
