This course focuses on using analytical models to predict a categorical field, such as churn, fraud, response to a mailing, pass/fail exams, and machine break-down. Students are introduced to decision trees such as CHAID and C&R Tree, traditional statistical models such as Logistic Regression, and machine learning models such as Neural Networks. Students will learn about important options in dialog boxes, how to interpret the results, and explain the major differences between the models.
If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. It's a cost effective option.
Submit an enquiry from any page on this site, and let us know you are interested in the requirements box, or simply mention it when we contact you.
|Live Virtual||Live Virtual||1||750 £750||2019-09-18|
|Live Virtual||Live Virtual||1||750 £750||2019-10-24|
|Live Virtual||Live Virtual||1||750 £750||2019-11-18|
|Live Virtual||Live Virtual||1||750 £750||2019-12-06|
|Live Virtual||Live Virtual||1||750 £750||2020-01-20|