Category Archives: low-hanging fruit

Low-hanging Fruit of Predictive Analytics . . and Then the Rest

Posted on August 6, 2013 by Paul Kovaks

Most of the predictive power of predictive analytics comes after the all-important data clean-up and the application of a 1st-year uni stats method: Multiple Linear Regression (MLR). We’ll talk about what that is in another post, but for now, just … Continue reading →

Posted in Data clean up, low-hanging fruit, Machine learning, Multiple linear regression, Predictive analytics, Uncategorized | Leave a comment