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Data analysis of the best brick-for-your-buck LEGO sets!!!
This project looks at data collected after the 2015 7.8 magnitude earthquake in Nepal, and analyzes which properties of the buildings caused the most vulnerability to seismic activity.
In the realm of Atlantis, we set to unlock the secrets of happiness within the depths of data. We embark on a journey to unravel the relationship between human well-being and pollution emissions.
Our project took the Melissa dataset for house value assessments and race percentages in Orange county and created a Neural Network to predict house prices based on location and racial statistics.
An interactive city guessing game!
Quick Release has all the necessary data for EV production, BUT oh no the data has crashed! This is where the Pit Stop team (us) comes in to patch and replace data to get it back on the road.
Diving into Airbnb? Looking to be a customer or a host? Look no further, we have the suggestions confidently backed by our data analysis of the dataset “StrataScratch: Market Analysis in Dublin”!
They say time is money, why else is it called fast food? Because it's easy to afford.
The unrealized potential of the short-term rental market creates demand for optimization of supply/demand in emerging markets. We characterize the Dublin Airbnb market to provide actionable insights.
Quick Release Automotive Quality Assurance: Quality checking the Bill of Materials
Navigating Housing Disparities
Reducing the RPZ regulations as well as providing incentives and recommendations to hosts will address the gap between Airbnb guest demand and host supply in Dublin.
Do the people around you care about their health? Good question! Let's dive in.
Learn how we provided recommendations on Airbnbs in Ireland based on supply and demand.
A project for city managers to understand and improve their city's Airbnb market
Welcome to QRV DataMariner! We're diving into QRV's procurement ocean to uncover insights and ensure data integrity. Our project gives insights into data quality and identifies critical data points.
Using the Melissa data set, we wanted to observe trends in Orange County. What problems can we find from analyzing bathrooms and other societal trends?
Meet "BnB," our solution to UCI's Datathon that transforms Dublin's Airbnb data into a powerful ML model and AI assistant—Bertrum n Bobby, streamlining data-driven decisions like never before.
Pandas, pandas, pandas. Finding and processing errors in Quick Release data set.
Doing the QuickRelease through excel and rust at the speed of light!
Optimizing Airbnb Management: Matching Dublin's Travel Trends
Every 40 seconds, someone in the US has a heart attack. That's why it's essential to identify the primary risk factors of heart attacks.
Airbnb Dublin is incompetent and they need us.
As part of the StrataScratch Data Challenge in the Atlantis Datathon, our team, the Data Divers, conducted an analysis of Airbnb bookings in Dublin. Check out our findings!
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