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Houston Redistricting!
We built a recommendation model, Link & Recommendation, to predict possible links and recommend other highly related nodes using Doc2vec and GAT.
A predictive analysis of rate of penetration as a function of drilling parameters of offshore wells
The BAJA team uses interpolation and machine learning to create an interactive dashboard that displays weather data and forecast for three ocean weather stations.
Tries to predict interest rate of loans based on different provided features.
Analyzing the tourism industry under the impact of COVID-19.
Representing by redistricting
Modeling Mortgages!
In this project, we use two different classification models to attempt to predict whether or not a loan application will get accepted based on demographic and loan-related variables.
Intelligent edge prediction in social networks
Feel safe in your city through our interactive heat map.
Any way the wind blows
91% accuracy on the test set; Very compact model that can be trained within 10min on CPU
Graphs are the most widespread and universal type of data. Insight into Connection system uses these data to learn dependencies between any current relation to predict future relations.
Learned Heuristic for the Graph Link prediction problem
Finding the best model for ROP
Our model predicts the acceptance of a given mortgage application. We are proud of successfully completing our first datathon.
So why does this data matter & why is it important to scrutinize lending practices & policies? Property ownership is a ticket to long term wealth creation. This data is always relevant.
Predicting wind speeds and possible other things from past weather data.
Dashboards and time series models are cool!
In this project, we used an assortment of variables to determine the probability of an individual being accepted for a mortgage, and if accepted, the potential interest rate on their mortgage.
sometimes you succeed and sometimes you don't :o
Identifying outbreaks of infectious diseases before they become endemic
Travel and tourism is one of the industries most heavily impacted by by Covid-19 . This project analyzes the success, decline and recovery of several airlines before and after the pandemic.
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