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Name: Viviane Marani
Type: User
Company: Accenture
Location: San Francisco, CA
Name: Viviane Marani
Type: User
Company: Accenture
Location: San Francisco, CA
:books: List of awesome university courses for learning Computer Science!
A curated list of data engineering tools for software developers
:memo: An awesome Data Science repository to learn and apply for real world problems.
A awesome list of (large-scale) public datasets on the Internet. (On-going collection)
a general purpose learning agent
Lane Finding Project for Self-Driving Car ND
Coursera Machine Learning - Python code
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
Computing for Data Analysis (Winter 2013)
Training code for Datapalooza
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/
Best practices of using Spark for practicing data scientists in the context of a data scientist’s standard workflow.
This repository includes projects from a Business Intelligence class taken at University of Alabama - Birmingham in the Fall of 2014. The projects are based on data mining concepts such as classification, association, decision trees, and clustering using WEKA software.
Open Source Data Science Resources.
The Leek group guide to data sharing
This is the example code repository for Doing Data Science by Cathy O'Neil and Rachel Schutt (O'Reilly Media)
Python Data. Leaflet.js Maps.
The Open Source Data Science Masters
Code for the book Grokking Algorithms (http://manning.com/bhargava)
Training and exercises to learn GS Collections.
A toolkit for developing and comparing reinforcement learning algorithms.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
A next-generation curated knowledge sharing platform for data scientists and other technical professions.
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.