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.dotfiles

2014-04-14-wise

Women in Science and Engineering bootcamp at LBL April 2014

2017-08-partisan-sites-and-facebook-pages

Data, analytic code, and findings related to the BuzzFeed News article, "Inside The Partisan Fight For Your News Feed," published August 8, 2017.

2018-04-25_intro-to-deep-learning-with-r

Intro to Deep Learning with R

2021-coda-br

aif360

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.

aix360

Open Source library to support interpretability and explainability of data and machine learning models

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

azure-checkin

A streamlined onboarding experience with Azure Pass for your events

azure-openai-lab

45 minutes self-directed lab on Azure OpenAI Service

bases

bioc2020

BioC2020: Where Software and Biology Connect

carbon-tutorial

An app for the Carbon Design System tutorial

carbon-tutorial-vue

codespace-demo

Demo on how to use Codespaces for Data Science

community

Stores documents used by the TensorFlow developer community

community-1

Elyra community information

complimentr

says nice things about you

crossprod

Blog

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

data-science-question-answer

A repo for data science related questions and answers

datascienceresources

Open Source Data Science Resources.

deep-learning-in-r_workshop

Workshop on how to use deep learning in R

demoblog

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

dplyr

dplyr: A grammar of data manipulation

dplython

dplyr for python

ds_jargon_file

Data Science Lexicon for the long-form General Assembly Course. Only six weeks late!

elyra

Elyra extends JupyterLab Notebooks with an AI centric approach.

employee-attrition-aif360

Walkthrough the data science life cycle with different tools, techniques, and algorithms. Use AIF360, pandas, and Jupyter notebooks to build and deploy a model on Watson Machine Learning.