data, it's a kind of magic

Motorcycling is life and learning to ride is hard. Cornering, in particular, was the bane of my existence for a long time in the beginning. How do you know if you are leaning too much or too little? Thus… introducing… the Motorcycle Lean Assist, MLA for short! Let’s use data science to solve this common motorcycle challenge. -_-)b

... Read More

In the hyperconnected world these days, billions of packets are sent back and forth between computers every second. Unfortunately not all of these are well intentioned and can cause significant harm. With machine learning, we can use classification models to differentiate between normal network traffic and nefarious ones. However, to do this effectively, choosing the right model is critical.

... Read More

Anatomy of a NHL Goal
4 February 2017

I’ve been a huge San Jose Sharks fan since God knows when and ole Patty has been with us the whole time. Incredible to see him ascend into the 500 goal club the other night. Only 44 other players in NHL history shares this honor with him. As tribute, I thought we’d crunch some numbers about goalmaking today. Sports are a finicky thing though and extracting actionable insights will be difficult. Regardless, let’s see what we see.

... Read More

John and Jane. Why are you so illusive? Where o where art thou? In part 1, we used MTA turnstile data to find possible locations. That helped us narrow our search down to 24 stations, but I’m certain we can do better. Please show us the way US Census demographics data.

... Read More

New York City subways. Within its tangled concrete and metal maze, there’s bound to be droves of John and Jane Smith’s thirsting for a brilliant cup of Joe. Where are they though? We have this perfectly aromatic blend of bold, earthly coffee beans and rich, creamy chocolate going undiscovered. If they can’t find us, we’ll need to find them.

Thankfully the MTA (Metropolitan Transportation Authority) has provided turnstile data that might help us do just that.

... Read More