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Create a simple google map for a rural area of Dodomaa, Tanzania
Cut Your Grass or Be Shamed
Our self-sustaining model helps to understand "location preferences" of opening a taco/burrito restaurant in the United States of America.
The idea behind the project we created is to be able to analyze various data about tacos and burritos from over twenty thousand restaurants.
Console based data proccesor and predictor
Restaurants That Sell Tacos and Burritos: Or how I learned to love ArcPro and Python, and not want to throw my computer out the window.
Mexican Restauraunts Across the US
Disaster Relief Services for Developing Countires
Taking a geospatial approach to data science
Nonprofits have data, but they don't know how to use it. By using predictive modeling, nonprofits will be abnle to better forecast incoming and future donations.
Identify the population that can be accessed via roads derived from satellite imagery.
Chain restaurants and mom and pop restaurants use the taco to exert their influence over the food econommy.
Use spatial binning for image retrieval and application of image processing to solve shortest path problem
This project takes a training dataset and its holdout set, runs it through a series of functions that prepare the data for modeling, fit the model and predict the holdout set. A good F1 score is best
Viz for Biz
break prediction of mechanical equipment from sensor data
Solving Goldman Sachs challenge
Part 1 of FB Challenge
Classification to detect failures
Forecasting failures
Exploratory data analysis, feature engineering, statistical inference, and market analysis for Mexican restaurant data set.
How do we drop the suicide rate to zero percent? First we must identify those at risk before helping them. This project will identify the character traits that people prone to suicide show.
Rare Event Classification for Well Failures
Created an optimization algorithm for Black Friday routing
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