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_3

3. Real-Time Intelligence with Logistic Regression on GCP

Manuel Amunategui¹  and Mehdi Roopaei²

(1)

Portland, Oregon, USA

(2)

Platteville, Wisconsin, USA

 

Let’s understand who survived the Titanic shipwreck by building an interactive passenger profile builder on Google Cloud.

In this chapter, we revisit the classic and dramatic Titanic dataset, favored by modeling text books and educational blogs all over the world. We will analyze the passenger manifest and attempt to understand why some did, and others didn’t, survive this tragic accident. We will explore the dataset, prepare it for modeling, and extend it ...