Demystifying Machine Learning Complexity Through Visualisation

This article outlines how data visualisation enables effective conversations between business stakeholders, data scientists and data engineers when solving complex Machine Learning (ML) workflows. We will introduce Kedro-Viz, an open-source data pipeline visualisation tool, exploring its functionality and detailing how QuantumBlack deployed Front-End Engineering to create our latest tool. You have spent weeks trying to locate and access to the data sources required to solve your ML use case, and are now beginning to preprocess these raw datasets. You now face the time consuming prospect of converting column types, cleansing, transformation and wrangling before you even begin to consider feature engineering. Your business stakeholders have already queried why the prototype ML model was not completed in Week One.