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All the course materials for the "Stats from Scratch" stream of our Data Science course
All the course materials for the "Wiz of Data Vis" stream of our online course
All the course materials for the "Mastering Modelling" stream of our online course
Causal Inference in Case-Control Studies
Circular visualization in R
Health economics Cost Utility Analysis of transplanting kidneys with different quality levels. This R script includes the calculation of transition probabilities
Modelling with Tidymodels and Parsnip - A Tidy Approach to a Classification Problem
Data Processing & Logistic Regression
Clinical Natural Language Processing using spaCy, scispacy, and medspacy
A SAS library for SAS University Edition and SAS Studio
We have put together some examples of different well known machine learning algorithms. This is to make it easier to understand how it looks like when working with machine learning in code. Happy hacking!
Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures
R package to easily build publication-ready univariate or bivariate descriptive tables from a data set.
Regression disconuity analysis causal
The repository provides the source code to reproduce the results of the paper "Natural Language Processing to Quantify Microbial Keratitis Measurements" (currently under review).
The repository provides the source code to reproduce the results of the paper "Development and Validation of a Natural Language Processing Algorithm to Extract Descriptors of Microbial Keratitis from the Electronic Health Record" (currently under review).
:link: Methods for Correlation Analysis
Cost-effectiveness and cost-utility analysis of a workplace smoking cessation intervention with and without financial incentives
Deep Learning for Coders, 2020, the website
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
This repository contain a dataset describing the urgency of admission among COVID-19 patients, intended for use in a predictive modeling or supervised machine learning course.
cowplot: Streamlined Plot Theme and Plot Annotations for ggplot2
R code to estimate the Cox-Snell R2 from McFadden's R2 for logistic regression
Electronic health data analysis Markov and health economics Code repository for the critical data book
Doing CrossValidation and Bootstrapping in R on Auto dataset in ISLR library
Doing CrossValidation and Bootstrapping in R on Auto dataset in ISLR library
moDel Agnostic Language for Exploration and eXplanation
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.