Learn how to prevent one of the most common mistakes in Predictive Analytics

One of the most common mistakes an analyst could make during a predictive modeling project is ignorance of sample bias in their data. The cost of making such mistake can be quite substantial to an organization's business outcome.

In this 30-min video course, we will share with you some secrets on how to avoid this mistake. You will learn the following topics:

What is sample bias, what cause sample bias, and why it is important to you?
Two different approaches to detect sample bias
Three different approaches to correct or reduce sample bias
At the end of the class, you should have gained sufficient knowledge to help you detect and reduce sample bias in future predictive modeling or advanced analytics projects.

Detect and Reduce Sample Bias in Predictive Analytics.rar