rjshanahan Goto Github PK
Name: Richard Shanahan
Type: User
Bio: helping machines realise their potential
Location: Adelaide, Australia
Name: Richard Shanahan
Type: User
Bio: helping machines realise their potential
Location: Adelaide, Australia
interactive choropleth of population by Australian statistical area (SA2) - data from ABS
basic demo of text analytics using social media data
A basic survey using Shiny
Bayesian Networks, Causal Inference, Structure Learning, Classification, Visualisations
A simple Blockchain in Python
Themes for Bootstrap
Australian Census 2016 Twitter Sentiment Analysis, Topic Modelling and Geocoded Tweets
Dual LSTM Encoder for Dialog Response Generation
The Python programming language
Python files for Udacity course "Data Wrangling with MongoDB
My website
Python tool using OpenPyXl to compare Excel (xlsx) workbooks, worksheets and write differences to file
webscraper for facebook group pages - requires own login
A Python package to assess and improve fairness of machine learning models.
Boeing 737 Survivability by Seat Dataset
Repository for UniSA INFS5098 Kaggle Titanic Machine Learning Challenge
Data Science Professional Development II
R code for creating classification model with UCI Machine Learning Repository 'Abalone' Dataset
Markov Chain Monte Carlo demonstrations
Continuous and Discrete Naive Bayes Classifiers
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 ;)
Pseudo API for Google Trends
Python parser to extract historical FX Rates from Quandl (xml) download - bulk call of ALL currencies
turn natural language into structured data
Social media data analytics code for produce sharing site RipeNear.me
scikit-learn: machine learning in Python
R-Studio Shiny App for interactive k-Means Clustering
Computation using data flow graphs for scalable machine learning
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.