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Bio: pH.D. in Technologies for Health @University of Brescia
Type: User
Bio: pH.D. in Technologies for Health @University of Brescia
This is a practical codelab with the aim to guide beginners into the discipline of machine learning and classification, by means of open source tools. If you do not have both great practical and theorical skills of machine learning, here you can find a tutorial that explain you how to apply those tools, and guide you through the implementation of them. The tutorial lab explains you the tools that you need to understand in order to develop a classification solution of this kind. By completion of the source code, you will have a working solution for classifying on a kaggle competition dataset. The kaggle dataset competition is the London Data Science competition.
The Data Scientist’s Toolbox's course
The Leek group guide to data sharing
The fastai deep learning library, plus lessons and tutorials
Reference deployment of JupyterHub with docker
Support for jupyter notebook templates in jupyterlab
A spawner for JupyterHub
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.