Applying Data Science in Manufacturing: Part II — Batch Process Methodology and Lessons Learned

In Part I of this post (https://medium.com/@ryandmonson/applying-data-science-in-manufacturing-part-i-background-and-introduction-ccb15743e001) I hypothesized that Machine Learning modeling and subsequent control of process parameters could help reduce variation in Manufacturing.

In this post I’ll go through steps to create a predictive model for alloy grade using inputs from a metal alloy manufacturing dataset on the Kaggle website. Training and testing datasets for…