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This software will allow users to enter a jazz musician and get the most commonly used key and speeds.
Using data to learn how to improve the permitting and entitlement process
OppenheimerFunds Big Data challenge
Fun(d) Insights! Through this project, we aim to explain user behavior across different domains of a webpage.
Using nebulous data to provide value
We created a neighborhood finder and mortgage predictive risk assessment calculator.
Classify trail camera images so hunters and DNR officers can filter out images that have no animal.
Melbourne has hot housing market. The project visualizes to gain insights and get the right house for your needs.
Uses various data about people's lives to predict overall health
It will be close, 20-40% of the time
Prediction model of housing prices based on Citizen Bank's dataset using neural networks
A personalized patient dashboard for health professionals: risk prediction + smart lifestyle suggestions for patients
Project for the 2019 Brown Datathon
Giving Mortgage lending companies a solution to predict the potential Risk for a better lending strategy.
A novel technology for mapping the overlap of genome samples via an interactive user interface for rapid analysis.
Implementing WRC through blockchain and smart contracts and preventing tampering of data with the use of ML and AI
Imagine just saying a word and knowing everything you need to know to about a location and seeing it in VR
Explore various features with focus on finding out what type of hotels do people book.
Unsupervised learning algorithm for detection of fabricated data and also calculation of %reuse for WRCs generation.
We are attempting to show if there lies correlation between a country's use of a fuel source and it's GDP growth.
Visualization and Forecast of Gun Violence in America
Helping doctors use patient data to predict diseases
This is an index-driven portfolio modeling software that will serve as your guideline for optimizing your returns!
Everything that you need to evacuate in a central application.
