williamfoote Goto Github PK
Name: Will Foote
Type: User
Company: Capgemini
Bio: Turlock, CA grown
Location: San Francisco, CA
Name: Will Foote
Type: User
Company: Capgemini
Bio: Turlock, CA grown
Location: San Francisco, CA
Using the simulation tool at https://islands.smp.uq.edu.au/login.php, we analyzed the effects of different treatments on the response, adrenaline levels. Using statistical techniques such as ANOVA and conditions of a well-designed experiment, we seek to find the relationship between different activities and adrenaline levels.
Analyzing the CalFresh system in California to predict enrollment rates across counties.
My individual final project in UCLA's Statistics Intro to Data Mining 101C course. Analyzed a given dataset and used machine learning algorithms including logistic regression, random forests, boosting, and more, to predict the output from a test dataset we could not see publicly.
I was a participant on this Data Science Union project. We explored fitness data to predict weight loss.
My friends send their Wordle stats in our iMessage GM mostly every day. I wanted to analyze that data, so I used pandas, sqlite3, and seaborn, among other Python tools to do this.
R Shiny Dashboard for LeBron's quest to surpass the scoring title. Project end date using Monte Carlo simulation.
Using Monte Carlo simulation to project when LeBron James will break the NBA scoring record. Visualized using R Shiny.
An image compression app built on Flask using Python. Containerized with Docker.
Is it possible to manage a supermarket – from employees to inventory to purchases – natively from R? With Rosita, it is. Rosita is an R program that utilizes MySQL for database management.
Analyzing sleep data from my Fitbit tracker using statistical methods such as multiple linear regression.
What factors make sports entertaining to watch? More specifically, how can the sport of Roundnet (a 2v2 game comparable to volleyball where one hits on a net instead of over a net) grow its viewership? We created a survey to answer this question. Then, using statistical methods ranging from hypothesis testing to multiple linear regression, we used our findings to create a quantitative metric to predict how entertaining a new clip would be given certain factors.
Raw, user-submitted point-by-point data for pro tennis matches
website for UCLA DataSquad ucla-datasquad.github.io
An R package for the analysis of CDC Vital Statistics birth records
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.