Predictive Analytics & Data Mining: Model Development

    

Summary:
The Model Development course presents a deep dive into the data mining process at a tactical level. Attendees will observe demonstrations of machine learning methods and computer-guided analytical techniques for extracting and interpreting complex patterns and relationships from large volumes of data. If you desire an intensive tactical orientation to data mining concepts, tools, techniques and supporting methods, then this event is designed for you. This course broadly covers data-driven information discovery techniques and model-building tactics without restriction to any particular modeling tool. Popular open-source and commercial packages are leveraged to illustrate methods, but not to showcase the tools.

Duration:
2 Days/Lecture & Lab

Audience:
-IT Professionals -Project Leaders -Decision Support System Architects -Business Analysts -Functional Analysts

Topics:

• Introduction
• Crisp-DM Methodology Parts 3, 4, 5
• Modeling (CRISP 4)
• Evaluation (CRISP 5)
• Wrap Up and Parting Thoughts

Prerequisites:
There are no prerequisites for this course. However, participants will benefit by reviewing the CRISP-DM guide ahead of the training.

Last Update: May 23, 2012