Abstract: 

Cloudera’s library of Applied ML Prototypes (AMPs) provide Data Scientists with pre-built reference examples and end-to-end solutions, using some of the most cutting edge ML methods, for a variety of common data science projects. Every AMP includes all required libraries and their dependencies, industry best practices, prebuilt models, and a business-ready AI application — All deployable with a couple clicks, allowing Data Science teams to start a new project with a working example that they can then customize to their own needs.

In this session, Jake Bengtson from Cloudera will demonstrate how the AMP Churn Modeling with scikit learn can be repurposed to create a web application that will predict this year’s NBA champion. From ingesting historical NBA data to altering the existing Flask application to use a newly trained model, we will walk through the entire process of going from AMP to MVP.

Bio: 

Jake is currently working as a Senior Product Marketing Manager over ML Lifecycle products at Cloudera. Before joining Cloudera, Jake worked as a Data Scientist and Solution Architect at ExxonMobil. Additionally, he worked as a Senior Data Scientist at FarmersEdge. Before starting his professional career, Jake obtained his bachelor’s and master’s degree from Brigham Young University. When he isn’t working, Jake enjoys skiing, golfing, and spending time with his family in the mountains.