trahasch Goto Github PK
Name: Stephan Trahasch
Type: User
Company: University of Applied Sciences, Offenburg
Name: Stephan Trahasch
Type: User
Company: University of Applied Sciences, Offenburg
Learning Material Hub for Microsoft Professional Program (MPP)
Machine Learning with R
The Numenta Anomaly Benchmark
2D Outlier Analysis using Shiny
Question answering dataset featured in "Teaching Machines to Read and Comprehend
Showcase for using H2O and R for scoring for marketing campaign in retail
Source code for R in Action, Second Edition
Spark Knowledge Base
Base classes to use when writing tests with Spark
Practical Concurrent and Parallel Programming (Autumn 2014)
Advanced analytics samples and templates using SQL Server R Services
Notes and exercise attempts for "An Introduction to Statistical Learning"
This repo is for ML/GraphX tutorial in Strata 2016
Content for Spring 2016 Strata tutorials
Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
MITx: 15.071x The Analytics Edge is an edX course from MIT.
Threads benchmark code for Takipi blog
Content for "Wrangling data in the Tidyverse" - a tutorial given at useR! 2018
Course homepages for courses that I've taught at the University of Maryland
Example R scripts and data for "Practical Data Science with R" by Nina Zumel and John Mount (Manning Publications)
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.