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An analysis of how the demographic of US cities has changed from 2000 to 2010 and how this should affect spending.
Time Series Forcasting for future fires
For members of the Gen Z community, the 2000s is the epitome of nostalgia. Wave2K attempts to answer the question: What makes it nostalgic? Is it the song itself, or the memories attached to it?
Today's music should incorporate elements from the 2000s’ top tracks. We found 7 audio features can increase revenue and rank. Producers can sample top 2000’s songs to create new hits.
Exploring the relationship between public and private insurance with the quality of care.
Leveraging data-driven solutions to address diabetes readmission rates within 30 days and enhance the healthcare system
Assessing significant variables for no readmittance, readmittance before 30 days and readmittance after 30 days.
Using solar panel generation data and solar irradiance data, we will analyze the performance of the two ENGIE solar arrays in Iowa City.
BoilerBites: Fuel your day, pair meals to your needs! Discover the best food courts for your dietary desires, saving you time and hassle of doing it yourself!
Team Chickenjoy
We will be developing a global ranking system using a modified elo system that will allow comparison of the different regions.
Building an Elo system using historical match history on the player level to generate power rankings for every professional team. *The website might take a second to load at first please be patient*
i've added jupyter and wordpress stack that are fully reusable
Using habitat data layers available on EMODnet, it is possible to build a user interface where members of society can see what sorts of life should be able to be found in their backyards.
Hacking activated by the victims themselves.
Unlock Your Farming Potential with the Ultimate Assistant!
Bold Innovation, Embracing Diversity,Eradicating Bias in Climate Forecasts
Providing the general public with transparent information about the United States, so that you (yes you!) can be a more educated and informed citizen of the world.
An affordable, cheap, and efficient option in gathering foot traffic data on customers in order to manage and select the optimal operation hours of non-profit businesses.
Develop a model using data analysis and machine learning to identify popular malls with high foot traffic and analyze customer demographics.
This project is created to provide financial education bringing awareness to user's wealth status.
Comparing house have never been that easy.
Introduction to Freestyle Processing
A gift voucher solution for small local businesses