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We are entering a more remote, flexible workforce. What is one goal most people have? To travel ! Our goal is to help remote workers make smart, informed choices about where to live and work GLOBALLY.
Early skin cancer detection tool using image-based ML on full-body 3D scans; goal is triaging high-risk lesions faster and support underserved communities by improving accessibility to early diagnosis
Our team used Uber signup data to predict which drivers would complete their first trip. XGBoost (99.8% accuracy) showed referrals, quick background checks, and early vehicle adds as key predictors.
With the advent of data science, Santa wants to automate his task of delivering presents. To do this, we solve the traveling salesman problem for houses around UCI.
Using data for formulate the perfect recipe for your future coffee shop endeavors
Predict the Wrecks, Plunder the Past!
Who Signs Up.. and Who Actually Drives? Using a StrataScratch dataset, we predict driver activation using data visual and supervised learning. From click to ignition—what turns a signup into a driver?