This course introduces participants to machine learning techniques for modeling and to solve business problems and identify opportunities. It covers the process of formulating a business analytics research hypothesis, neural networks, basic concepts of data mining, developing business objectives, data selection, preparation and partitioning to successfully design, build and evaluate descriptive, predictive, and prescriptive models. Modeling techniques such as decision trees, neural networks, regression, random forests and other techniques are taught. This course includes hands-on labs where the participants can put lessons into action.
This Instructor Led Traning (ILT) course takes approximately 16 hours over 2 days. Participants are provided a 45-minute lunch break each day. Upon registering and providing payment for the course, you will receive via email instructions on how to log into the training, training materials, etc. All courses are held in ET (Eastern Time) zone.