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Interpreting Human Migration Through the Lens of Nostalga
Exploring the relationship between public and private insurance with the quality of care.
Trying to find a correlation between top publishers and developers of games and the user experience.
We created visualizations to show that larger states with sparse areas are more prone to wildfires. Most of the fires are in Western states.
Should we wish to go back to the past if the past wasn't good enough? Our project will explore diversity patterns from 2000 and 2010 within Metropolitan and Micropolitan America.
As women and international students in STEM, we are sensitive to issues of bias. With the aim of discovering biases and health disparities, we hacked into the diabetes dataset… and found a lot more!
We want to analyze the attributes of the top 50 songs of the 2000s, to make an ultimate playlists that captures the feeling of the 2000s.
Healthcare Track: This project aims to analyze what factors can be used to predict whether or not a diabetes patient is readmitted to the hospital after a medical interaction.
What's the song you go to when you're feeling nostalgic? How did they change as time goes on?
Immerse into the past with our time machine that showcases the top tracks from each year. From the classics of yesteryears to the latest hits, experience the melodies that have shaped our memories.
Leveraging data-driven solutions to address diabetes readmission rates within 30 days and enhance the healthcare system
Do measurable patterns exist between diabetes patients who are readmitted before or after 30 days from their previous visit?
Assessing significant variables for no readmittance, readmittance before 30 days and readmittance after 30 days.
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.
Most states in the US are affected by wildfires, causing substantial damage. There are many causes and impacts to these fires, and we attempted to examine data patterns to understand the implications.
Have you ever wondered which nostalgic sitcom show characters share your music taste? Me too. We've created a personalized answer framework using Cosine Similarity and Euclidian Distance analysis!
Machine Learning, Song Hit Prediction, SVM, Random Forest, XGBoost, Logistic Regression, Spotify
In our analysis of patient readmission data, we employed two supervised machine learning algorithms: Logistic Linear Model (GLM) and Decision Trees.
CDC 2023 Submission
We used predictive modeling to create a model that would predict the severity of one's diabetes, estimated based on the number of times they have been diagnosed.
Time Series Forcasting for future fires
We're analyzing song lyrics from 2000 to 2010 to add deeper, more meaningful tracks to your playlists. Say goodbye to mainstream, and hello to music that resonates with your soul.
Memories instill nostalgia, and many memories occur in our homes. By mitigating wildfire expansion, we can protect nostalgic homes
Nostalgia.
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