laura-matrajt Goto Github PK
Name: Laura Matrajt
Type: User
Name: Laura Matrajt
Type: User
Repository for the paper entitled "The role of antiviral treatment in curbing the COVID-19 pandemic: a modeling study."
four week intro to machine learning
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
This repository contains the data from the paper "Could widespread use of antiviral treatment curb the COVID-19 pandemic? A modeling study."
code used to generate the model described in "Evaluating the Effectiveness of Social Distancing Interventions to Delay or Flatten the Epidemic Curve of Coronavirus Disease", EID, 2020
Data needed for COVID-19 projects
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
The Leek group guide to data sharing
Developing Data Products Course from the Johns Hopkins Data Science Lab
Plotting Assignment 1 for Exploratory Data Analysis
Code used to generate the model/output/etc used in the multi-modeling exercise for Haiti mass-vaccination.
my first repository
httr: a friendly http package for R
Sample code for the IDM Spring 2023 disease modeling symposium.
code from the paper "Evaluating the use of dose-sparing vaccination strategies for Monkeypox"
Polio Model for AJE publication
Repository for Programming Assignment 2 for R Programming on Coursera
This is the repository of files used in the manuscript entitled "Quantifying the Impact of Lifting Community Nonpharmaceutical Interventions for COVID-19 During Vaccination Rollout in the United States", https://academic.oup.com/ofid/article/8/7/ofab341/6311669, Open Forum Infectious Diseases, 2021
Peer Assessment 1 for Reproducible Research
Pathogen evolution, selection and immunity
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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.