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Information and content associated with "A/B Testing and Beyond", a continuing eduction certificate offered by the University of San Francisco's Data Institute.
Coding exercise to extend tensorflow for imagenet to active learning, for use in a job interview or similar.
Data release for Activity Inequality paper
Coding exercise to extend to create an annotation tool for ImageNet labels on Machine Learning output
:memo: An awesome Data Science repository to learn and apply for real world problems.
An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.
Slides for my doc2vec workshop/talk
An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.
Simple javascript calculator for course labs
The Coursera course Coding the Matrix: Linear Algebra through Computer Science Applications by Philip Klein
ALCF Concept to Clinic Challenge
Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
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 and code behind the stories and interactives at FiveThirtyEight
Data Analysis Using Python
code for Data Science From Scratch book
DataCamp Facebook Live Code Along Session 4: Learn techniques that guests on the DataFramed podcast say are their favourite. Enjoy!
DataCamp Facebook Live Code Along Session 1: Enjoy.
Repository for Coursera Data Science Toolbox Class
CSV datasets used in Plotly API examples
The Leek group guide to data sharing
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Demo for interview 2024-02-05
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
TensorFlow tutorials and best practices.
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.