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Name: Jennifer
Type: User
Name: Jennifer
Type: User
Content for my Astronomy 599 Course: Intro to scientific computing in Python
Solutions to programming challenges and algorithmic problems
:memo: An awesome Data Science repository to learn and apply for real world problems.
An awesome list of high-quality open datasets (HQOD) in public domains (on-going).
Code for my book on Multi-Armed Bandit Algorithms
This repository is now frozen - please see the note below.
The Hacker Within at the University of California - Berkeley
Software Carpentry boot camp material
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Sample code files to accompany the book “Interactive Data Visualization for the Web”
Data Science at the Command Line
code for Data Science From Scratch book
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/
Start doing data science in minutes
Machine learning workshop using Python, pandas, and scikit-learn. The first half of the day covered supervised classification using Logistic Regression and how to use cross validation to evaluate your models . The second half of the day covered unsupervised clustering with Kmeans as well as an overview of the data science process.
Dive into Machine Learning with Python Jupyter notebook and scikit-learn
Data Science in 30 Minutes
A web app for neighbors to share extra food. The objective is to reduce food waste, distribute food to those who need it, and make use of food that expires soon and garden extras.
The Open Source Data Science Masters
Example coding interview problems found through online resources, Cracking the Code book, mentors and colleagues. An additional robust resource for example interview questions and solutions is at https://github.com/mmihaljevic/algortihms_challenges.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Open Content for self-directed learning in data science
Machine learning exercises
The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)
Some sample IPython notebooks for scikit-learn
Test repo. Originally for the python bootcamp 2015.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
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.