Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud

© Manuel Amunategui, Mehdi Roopaei 2018

Manuel Amunategui and Mehdi RoopaeiMonetizing Machine Learninghttps://doi.org/10.1007/978-1-4842-3873-8_4

4. Pretrained Intelligence with Gradient Boosting Machine on AWS

Manuel Amunategui¹  and Mehdi Roopaei²

(1)

Portland, Oregon, USA

(2)

Platteville, Wisconsin, USA

 

What makes a top-rated wine? Find out with a hard-to-resist real-time web dashboard on Amazon Web Services.

In this chapter, we are going to learn about wine quality with the help of the powerful “Gradient Boosting Classifier”¹ algorithm from the “sklearn” library. It can classify data into multiple classes, and that is what we’ll use to group our wines into “quality” buckets. We will highlight that power in our web dashboard with the help of real-time ...