magnusmunch Goto Github PK
Name: Magnus Münch
Type: User
Company: Amsterdam University medical centers
Bio: PhD student in statistics for omics data
Location: The Netherlands
Name: Magnus Münch
Type: User
Company: Amsterdam University medical centers
Bio: PhD student in statistics for omics data
Location: The Netherlands
Short course on prediction with the group-regularized ridge and elastic net
Co-data moderated randomForest
:exclamation: This is a read-only mirror of the CRAN R package repository. glmnet — Lasso and Elastic-Net Regularized Generalized Linear Models. Homepage: http://www.jstatsoft.org/v33/i01/.
Adaptive group-regularized logistic elastic net regression
R package for better prediction by use of co-data: Adaptive group-regularized ridge regression
project in Cambridge
Co-data learning in high dimensional prediction problems
An R 📦 for Lasso and Ridge Regression with differential penalization based on prior knowledge ✌️
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.