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        AIm Assist
        AIm Assist

        Chatbot to help VCT managers and coaches create the best team. Powered by AWS.

        0
        2024 Data Challenge - Monarch Butterflies by CyberX
        2024 Data Challenge - Monarch Butterflies by CyberX

        Select and analyze relevant data, interpret your findings, and recommend a strategy for declining populations of monarch butterflies

        4
        Caution to the Wind
        Caution to the Wind

        Studying spatiotemporal migratory patterns of Monarch Butterflies gives insight into where and when support for these pollinators is most crucial.

        1
        Pesticide Mapping and the Waning Population of Butterflies
        Pesticide Mapping and the Waning Population of Butterflies

        Food security is vital. Factors like temperature, rain, soil, and pollinators impact food production. Pesticides harm pollinators. We track pesticides and Butterfly migration to find patterns.

        0
        The correlation between pesticide use and butterfly decline
        The correlation between pesticide use and butterfly decline

        Neonicotinoid pesticides make up the majority of the enigma as to why the US is seeing it's abundant butterfly migrations slowly thin out. This project provides a statistical analysis for the cause.

        0
        IIC: Mapping Virginia Park Shorelines
        IIC: Mapping Virginia Park Shorelines

        Creating Virginia digital park maps using the R package, AMBUR.

        0
        Co-expression Bridge
        Co-expression Bridge

        Integrating transcriptomics and proteomics data by bridging the gap between RNA-seq coexpression matrices with protein-protein interaction networks.

        + 2
        0
        WanderWell
        WanderWell

        Creating memorable and safe vacations using illness death counts

        0
        Ospreys
        Ospreys

        Problem Set 2 Providing wholistic and individual approach for stopping the sale of tax certificates.

        0
        The association between Traveling and Respiratory Diseases.
        The association between Traveling and Respiratory Diseases.

        Examined the effects of traveling on the spread of respiratory diseases, particularly COVID-19

        0
        Trip Hacking with Google Reviews
        Trip Hacking with Google Reviews

        Using Google Reviews, we cluster traveler preferences to create personalized itineraries, predicting the perfect trip based on data. Tailored recommendations for smarter travel planning.

        0
        The Correlation of Disease and Travel Frequency In The US
        The Correlation of Disease and Travel Frequency In The US

        Looking at frequency of Local, Interstate, and Long Distance travel in relation to deaths from various diseases.

        0
        Carbon Emissions by Country
        Carbon Emissions by Country

        Which countries and/or companies from specific countries should engage in carbon trading? Have policies like the Carbon Offsetting and Reduction Scheme for International Aviation worked?

        0
        Sentiment Analysis on Travel Reviews
        Sentiment Analysis on Travel Reviews

        We fetched travel reviews from an API from 8 different location and compared the sentiment of those reviews on location and weather

        0
        bioJanitors
        bioJanitors

        We crunch data fast, to make plastic’s the past! A project to discover novel high-efficiency plastic-degrading enzymes through Computational Biology.

        + 1
        0
        The Digital Footprint of Urban Tourism
        The Digital Footprint of Urban Tourism

        We analyzed customer review data by city to provide insights into the city's travel experiences. This included the generation of keywords from the reviews and sentiment involved.

        0
        The Next Pandemic
        The Next Pandemic

        Considerations for the next outbreak.

        0
        Decision Tree Classifier for Market Share Prediction
        Decision Tree Classifier for Market Share Prediction

        This repository contains a Python implementation of a Decision Tree Classifier to categorize the 'large_ms' variable into three distinct groups: 'Low', 'Medium', and 'High'.

        0
        CDC 2024 Health Sciences Analysis
        CDC 2024 Health Sciences Analysis

        Analysis of airline travel trends by HHS region during COVID using Excel, Rstudio, and Python.

        0
        Passenger Behaviors
        Passenger Behaviors

        How do certain variables explain the number of passengers on flights and what does this mean about their purchasing behaviors?

        0
        Understanding Seasonality of Deaths in Relation to Age Group
        Understanding Seasonality of Deaths in Relation to Age Group

        Trying to find the correlation between the months and the deaths caused by Influenca, Pneumonia, and COVID-19.

        0
        CO2 Emission
        CO2 Emission

        TOP 5 countries that have the highest average yearly CO2 emissions of passenger flights.

        0
        Skyborne: Exploring the Travel-Disease Connection
        Skyborne: Exploring the Travel-Disease Connection

        How did travel before, during, and after the COVID-19 pandemic relate to death rates in the US for airborne diseases?

        0
        Surface protein abundance prediction from RNA expression
        Surface protein abundance prediction from RNA expression

        Evaluating foundation models on CITE-seq data for RNA sequences and abundances

        + 1
        0