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We're trying to make models recognize emotions better.
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.
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?
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.
Pandas, pandas, pandas. Finding and processing errors in Quick Release data set.
Quick Release Automotive Quality Assurance: Quality checking the Bill of Materials
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.
A project for city managers to understand and improve their city's Airbnb market
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!
Optimizing Airbnb Management: Matching Dublin's Travel Trends
Learn how we provided recommendations on Airbnbs in Ireland based on supply and demand.
Airbnb Dublin is incompetent and they need us.
"Using data-driven insights, we predict disaster impacts, optimize resources, identify shelters, and plan evacuations to safeguard lives and communities."
News and Image Classifiers
Discover PantryConnect! Our app maps real-time food availability at campus pantries. Quickly find what you need and focus on your studies!
Model prediction to assess whether a patient is at high risk of contracting COVID-19
Given two datasets with over 30,000 entries, my fellow Airbnb city managers will guide you as you embark on your Airbnb host adventure using data analytics and predictive models.
Navigating Housing Disparities
Making student life easier by automatically setting up your schedule to keep pace with coursework deadlines.
Utilized sklearn machine learning models/tools, pandas, and matplotlib to analyze, understand, visualize, and communicate the demand/supply of the Airbnb market in Dublin, Ireland.
Sailing through the ocean of data
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.
AI-driven urinalysis predicts health outcomes with high accuracy, enhancing diagnostics using XGBoost and CatBoost for precision medicine.
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”!
