TASK 1:HANDS-ON ACTIVITY: TECHNIQUES FOR PREDICTIVE MODELING
For this assignment, your goal is to build a model to identify inputs or predictors that differentiate risky customers from others (based on patterns pertaining to previous customers) and then use these inputs to predict new risky customers. This sample case is typical for this domain. Please choose one of the techniques for predictive modeling and provide a report justifying your selection and the model you built, and your conclusion.
Here is the sample data to be used in this hands-on activity.
Credit Risk Data.xls
discussion should be atleast 400 hundred words with APA format
Explain why organizational culture must sometimes change before knowledge management is introduced. Provide an example from the industry.?
TASK 3:Hands-on Activity
Go to exsys.com to play with the restaurant selection example in its demo systems. Analyze the variables and rules contained in the knowledge example’s knowledge base?