Our project consists of three main components - an XGBoost machine learning model, a map, and Tableau visualizations. These three components are a powerful set of tools for Chevron stores.
We use an iterative agglomerative clustering algorithm to group similar agencies and match to potential vendors.
A project aiming to reduce Chevron's waste and profit margins through hot dog sale predictions.
In this project, we applied several statistical machine learning algorithms to forecast the agency spending and vendor receivables.
Figuring out what are the factors that positively and negatively impact college matriculation for Texas high school graduates.
Hot Dog Prediction: A model with time series and random forest.
Modeled data using Prophet in R to forecast hotdog demand.
Analyze r/WSB for sentiment relating to GME.
Mood Boost helps users navigate through their lows and celebrate their highs.
An app with compiled Coronavirus data from numerous colleges to assist college students in navigating their way around local cases as well as protect themselves with the resources provided.
Optimizing the Essity Utilization Matrix
This app allows users to predict winners of specific NBA matchups based on season data. The predictions are based on each team's Elo rating and can be used to predict playoff matchups.
Image Recognition Cassava Disease Detector
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Analyzing how a change in air supply will affect network equilibrium and traveler choice.
Does the crime rate of an area affect a student’s performance in school?
We are a non-profit organization since opening in 2020, we provide information and service on water saving to the public.
Do the values of properties in a neighborhood determine the number of parking and speeding tickets in an area?
Our goal for this project is to better understand any variables, such as travel restrictions, school/work closings, or investment in healthcare, that may have impacted the spread of COVID-19.
Your place to compare procedure costs and quality across hospitals.
Minerva is a desktop application designed to help you sift through all of the educational content on the Internet, allowing users to rank and provide feedback on videos from different content areas.
With the myriad of problems arising due to climate change, our team seeks visualize how recent changes to climate have affected pollinator species, and what this means for our future.
Providing better information for short-term predictions on wind power production
Hi everyone! Our website is called RateRyClub and we are a website which can help UC Davis students find which club is a fit for their needs. We have provided sample data on the clubs.