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Using Machine Learning to improve the claim review process for health care insurance providers
A light in the night
When costs go up, cash goes down.
Our self-sustaining model helps to understand "location preferences" of opening a taco/burrito restaurant in the United States of America.
Things break but it's better when you know they'll break ahead of time
an examination of taco and burrito establishments
Identify the population that can be accessed via roads derived from satellite imagery.
Deriving consumer insights data from US taco and burrito business data
Do you know where to find your favorite tacos?
A Darwinian approach to the food service industry
test the useful feature
Gain a more carbon efficient supply chain while also decreasing your freight spend
Unbiased, unsupervised classification and ranking for tacos by treating all restaurants equally, giving small businesses better exposure.
Using corporate speeches to predict acquisitions and merges.
Application creating awareness about areas with crime.
End-to-end investment process leveraging graph theory, tensors, XGBoost and risk-premia.
The power of over 14000 unique toothpastes can predict the price of any one toothpaste you desire
Finding the best for your wallet.
Deep Learning/Predictive Analysis models to predict average man-hours per time frame chosen (hours, days, months).
We are feeling warmer, R you?
Optimized Study Groups Straight from Canvas
Pocket Shop is an app to help shop owners keep track of inventory, performance, and sales, as well as to receive insights regarding their products.
We decided to analyze the data from CoStar and created an analysis of the data, an interactive applet used to analyze the data, and websites to display our information.
Using student feedback to close the opportunity gap between the minority and majority in the education system.
