Supervised Machine Learning models are trained on a combined data-set from CalTech and STScI to identify probable planet baring stars in NASA’s TESS satellite light-curve data.
NASA’s TESS satellite is a started taking light readings of 200,000 of the brightest, closest stars in 2018. They expect to find about 300…
An App to Rank Cities based upon user selected factors
Project Roles & Objectives:
This project was put together over the course of eight weeks by a team of 14 students with four disciplines — UX, iOS, Full Stack Web, and Data Science. We were given two weeks to plan…
A CNN for image recognition is trained on results from Google Images API for city names. The array of probabilities provided by a softmax output layer are examined to determine subtle similarities between cities. The plans for a “City Vibes” swiping app are here discussed.
This project originally started as…
The graph above probably looks familiar. It represents global carbon emission dating back to 1750. Two other graphs that look quite similar are Gross World Product and Human Population. …
