To decision-tree or not to decision-tree, that is the question. Or to cluster, for that matter. Or to linear regress. Classification is a key part of
We all want our models to be as accurate as possible. While you can’t control every factor that interferes with accuracy, there are two types of
You’ve built your model, you’ve located your data sources, and you’ve done all the initial processing and ETL to get your data how you want it.
Let’s say you own a factory that makes computers. You need to have a steady pipeline of parts and raw materials. You can approach this necessity
With the increasingly digital lean in marketing, it’s easy to assume that the “old ways” like direct mail are going the way of the dodo. While
I know you've heard this a million times, but I'll say it one more time: nothing lasts forever. Youth is not eternal, your phone gets slower,
After a few months with no side projects on my plate, I was eager to create something new. I’ve made it a routine to try and
Data enrichment is a crucial step in the modeling process that data scientists tend to overlook due to the difficulty in finding and utilizing external sources.
One of the best ways to improve your production machine learning models is to improve the data that your model is trained on. Simple, right? Not