Category Archives: Multiple linear regression

What is Predictive Analytics?

Posted on August 20, 2013 by Paul Kovaks

Predictive analytics is a field of business intelligence, statistics and machine learning that has emerged from academia over the last decade or two.  It’s become the state-of-the-art method for analysing business data in real-time or otherwise for predictability of commercial … Continue reading →

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How Does MLR, the Simplest Predictive Analytics Method, Work?

Posted on August 8, 2013 by Paul Kovaks

MLR or Multiple Linear Regression, works by optimally combining all the predictor variables into a simple ‘weighted linear combination’. All that means is that we say our prediction (eg the chance a customer is going to switch away from you) … Continue reading →

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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