Machine Learning as a Service (MLaaS) with Sklearn and Algorithmia

My most recent post about analyzing my university's gym crowdedness over the last year using machine learning generated a lot of great responses -- including: First, I'm sorry you feel that way about the gym and I sincerely hope the oncoming wave of New Years Resolutioners doesn't completely crush your dreams of working out forever. I'm in the process of creating more predictive models for the other ten campus locations Packd tracks. Machine learning requires a lot of data, so it may take some time before the models are ready for training. I've since realized this requires a lot more explanation, and it's the subject of this post. My process may not be the best, but hopefully by illustrating it, I can learn from my mistakes and give you a starting point.