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Name: Christina De Cesaris
Type: User
Bio: M.S. in Biostatistics Data Wrangling, Modeling, Interpretation
Name: Christina De Cesaris
Type: User
Bio: M.S. in Biostatistics Data Wrangling, Modeling, Interpretation
Analysis of the factors which caused or reduced highway fatalities across US in 2018.
Arbovirus Modeling and Prediction to Forecast Mosquito-Borne Disease Outbreaks
Investigates the relationship between smoking and alcohol use on beta-carotene and retinol concentrations in blood plasma.
Survival Analysis coxph modeling
Explores the relationship between population demographics, various crime rates, and shall carry gun laws across different regions of the United States between 1977-1999 using a propensity weighted mixed linear effects model.
A look into at the relationship between population density in California Counties and COVID rates, for a pre-determined time period after COVID became pervasive in California.
CS32 Projects and Homeworks
Machine Learning Problem Sets Winter 2020
An analytical project exploring whether Class Types and Urbanicity have a significant effect on first grade math scores
Database for human gait analysis consisting of continues recordings of combined activities, such as walking, running, taking stairs up and down, sitting down, and so on; and the data recorded are segmented and annotated. Data were collected from a body sensor network consisting of six wearable inertial sensors (accelerometer and gyroscope) located on the right and left thighs, shins, and feet. Additionally, two EMG sensors were used on the quadriceps (front thigh) to measure muscle activity.
Logistic regression analysis performed on a complex dataset of mushroom profiles with the goal of determining the characteristics which make a mushroom edible or inedible to humans.
Multinomial logistic regression modeling used to determine influential factors in nicotine usage status
RShiny Physics classroom learning tool. An interactive, graphical program which relates position, velocity, and acceleration graphically as a function of time using initial values input by the user.
Machine Learning Modeling Approach to Analyze Standardized Agricultural Survey Data Collected in 21 Countries to determine factors influencing individual Market Orientation (MO) and Percent Poverty Index (PPI).
A test for using git
Tiny Graphics WebGL Library
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.