WeatherModel

Inspiration

We wanted to figure out how likely it would be that KU would cancel classes on a given day

What it does

It calculates how likely KU would be to cancel class on a given day

How we built it

Drake used Processing to take a large data sample from a weather data repository and narrow it down to 208 entries in the Jan, Feb, March interval we wanted Jonathan used Python to implement a machine learning model with the data Drake had parsed, and he developed the overall interface as well Jacob played Assassin's Creed Origins and was a role model for our sleeping habits

Challenges we ran into

Drake had problems parsing the data, and finding a complete set of data for our 208 samples. Jonathan had problems making the ML model for the weathermodel.py, and also managed to sleep for 12. Jacob had challenges with the Hippodrome races in Assassin's Creed

Accomplishments that we're proud of

The entire program. Just, the program, and the fact that it can actually kinda be used to a reasonable degree. Just take a above 40 percent chance as a pretty decent chance that school is going to cancel.

What we learned

Drake learned how to parse big data I learned how to make a multiple regression model and parse csv files Jacob learned probably something in Assassin's Creed Origins He also learned how to hallucinate with great frequency (in Assassin's Creed Origins, of course)