When I was working at MathWorks, I had the opportunity to create a demo in MATLAB that provides a simple walkthrough of how to perform a data science workflow on Domino Data Lab‘s MLOps platform. The demo showed how to use climate data from NOAA, to build a simple prediction tool that uses machine learning (ML) regression.
With the goal of telling you whether you should consider buying an air conditioner, the model predicts how many hot days upcoming years hold in store for us. A hot day is defined as one with a temperature over 29° Celsius (or 84° Fahrenheit). You name a location, and the model predicts the number of hot days.
More than two years later and I am now a member of the Domino team. I am also embarking on a new project to demonstrate our deep integration with a major data store partner, and creating the demo in Python this time. This post and subsequent ones will act as my travelogue for the project.
