Predictive Modeling Fundamentals I
Offered By: Cognitive Class
Course Description
Overview
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.
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
Related Courses
Passion Driven StatisticsWesleyan University via Coursera Machine Learning With Big Data
University of California, San Diego via Coursera Big Data - Capstone Project
University of California, San Diego via Coursera Data Science at Scale - Capstone Project
University of Washington via Coursera Анализ данных: финальный проект
Moscow Institute of Physics and Technology via Coursera