rkmiec1234's Stars
cqframework/cql-execution
A JavaScript framework for executing CQL
synthetichealth/synthea
Synthetic Patient Population Simulator
Michael-F-Ellis/infinite-etudes
Ear training for your fingers
public-apis/public-apis
A collective list of free APIs
uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
adamshostack/conflictmodeling
A place to gather and organize information about using threat modeling frameworks to deal with social conflict in online systems
rkmiec1234/tone_clues
hadley/adv-r
Advanced R: a book
orlandpm/Math-for-Programmers
Source code for the book, Math for Programmers
3b1b/manim
Animation engine for explanatory math videos
tidymodels/tidymodels.org-legacy
Legacy Source of tidymodels.org
alexeygrigorev/data-science-interviews
Data science interview questions and answers
hadley/mastering-shiny
Mastering Shiny: a book
plotly/falcon
Free, open-source SQL client for Windows and Mac 🦅
ExistentialAudio/BlackHole
BlackHole is a modern macOS audio loopback driver that allows applications to pass audio to other applications with zero additional latency.
rickwierenga/MLFundamentals
Notebooks for the "ML from the Fundamentals" series
markfairbanks/tidytable
Tidy interface to 'data.table'
bgweber/DS_Production
vaibhawvipul/First-steps-towards-Deep-Learning
This is an open sourced book on deep learning.
rfordatascience/tidytuesday
Official repo for the #tidytuesday project
faif/python-patterns
A collection of design patterns/idioms in Python
andrewgbruce/statistics-for-data-scientists
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
donnemartin/interactive-coding-challenges
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
uwescience/datasci_course_materials
Public repository for course materials for the Data Science at Scale Specialization at Coursera
dnc1994/MachineLearning-UW
Solutions for Machine Learning Specialization MOOC offered by University of Washington.
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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 ;)
yhyap/machine-learning-coursera
Programming assignments from Coursera's Machine Learning course taught by Andrew Ng.
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
JWarmenhoven/Coursera-Machine-Learning
Coursera Machine Learning - Python code
ystael/chicago-ug-math-bib
Chicago undergraduate mathematics bibliography