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Name: Tell Bennett
Type: User
Name: Tell Bennett
Type: User
An R package for performing new-user cohort studies in an observational database in the OMOP Common Data Model.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Practical Machine Learing Project
The Leek group guide to data sharing
Work from JHU Developing Data Products
Developing Data Products Course from the Johns Hopkins Data Science Lab
Coursera Data Science Specialization capstone project
Teaching materials for the R package ggplot2
Minimalist alternatives to "best practices" paper
A repository of all my posts on HopStat
📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference.
The LaTeX file that I use as the base for all my homeworks in university.
A LaTeX class implementing the new NIH Biographical Sketch Format
Text and supporting code for Modeling and Simulation in Python
Mapping of U.S. National Drug Codes (NDC) to Anatomical Therapeutic Chemical (ATC) Level 4 classes.
Clinical Natural Language Processing Transfer Learning based on ULMFit
Pediatric Complex Chronic Conditions: An R Package
Testing and Benchmarking of the pccc R package
R package implementing the Phoenix Sepsis Criteria
Propensity Score Analysis Tools
An updated version of qwraps with a focus on flexibility and general purpose. These functions are helpful for extracting and formatting results form R into .Rnw or .Rmd files.
All graphs in “Creating More Effective Graphs”, made with R package ggplot2.
Render reproducible example code to Markdown suitable for use in code-oriented websites, such as StackOverflow.com or GitHub.
A package to quickly visualise risk-of-bias assessment results
Repository of OHDSI Collaborative Research Protocols
IO page
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
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.