deho-oscar-blessed Goto Github PK
Name: Oscar Blessed Deho
Type: User
Company: Data Analytics Group- University of South Australia
Bio: PhD || Data Science || Machine Learning
Twitter: theoscars__
Location: Adelaide- South Australia
Name: Oscar Blessed Deho
Type: User
Company: Data Analytics Group- University of South Australia
Bio: PhD || Data Science || Machine Learning
Twitter: theoscars__
Location: Adelaide- South Australia
ABCinML: Anticipatory Bias Correction in Machine Learning Applications
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Data and analysis for 'Machine Bias'
moDel Agnostic Language for Exploration and eXplanation
Data and code behind the articles and graphics at FiveThirtyEight
A curated list of data science blogs
Kaggle's competition for using Google's word2vec package for sentiment analysis
:mag_right: A toolbox for fair and explainable machine learning
Python code for training fair logistic regression classifiers.
Comparing fairness-aware machine learning techniques.
Datasets for fairness-aware machine learning
Replication of Fei and Yeung (2015), "Temporal Models for Predicting Student Dropout in Massive Open Online Courses".
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Machine Learning fairness measurements using inequality indices
Python numba implementation of Zemel et al. 2013
Vectorized implementation of http://proceedings.mlr.press/v28/zemel13.html paper, with extensive docstring and comments
The MOOC Replication Framework (MORF)
Model predicts student success in online courses using virtual learning environment interaction statistics.
Scrapers from a project in 2018. Yelp, Spyfu, Similarweb, Morningstar, Linkedin, Instagram, Inside, Glassdoor, Facebook, Eat24, Doordash, Angellist.
Data Science Projects
Shapley Values with H2O AutoML Example (ML Interpretability)
Slicing analysis and replication of (Xing et al 2016, Gardner and Brooks 2018, Fei and Yeung 2015) using the MOOC Replication Framework (MORF)
VIP cheatsheets for Stanford's CS 229 Machine Learning
Topic modelling (Latent Dirichlet Allocation) and Self Organizing Maps (in python and R)
Github repo to upload demo files of youtube videos and linkedin
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.