Predict occupancy levels of libraries and dining halls at Columbia. Attempts to give students a real-time idea of what how packed spaces on campus will be using Support Vector Regression on historical counts of users connected to wifi (provided by ADI's Density API).

written in python 2.7 and requires most up-to-date versions of:

• requests
• json
• numpy
• matplotlib
• pandas
• statsmodels
• scikit-learn
• easygui