josuema Goto Github PK
Name: Josué M
Type: User
Location: México
Name: Josué M
Type: User
Location: México
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 ;)
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
Ideas for student projects
Introduction to Computational Tools and Techniques for Social Research
Source files for Statistical Thinking For the 21st Century
Guest lecture on Bayesian regression for graduate psych/stats class
Paper and code for Morey and Lakens (in prep.)
Talk given at Psychonomics 2018 symposium: "Should Science Determine the Practice of Statistics or Should Statistics Determine the Practice of Science?"
This is an online PsychoPy experiment I built recently using the PsychoPy builder, and hosted online with pavlovia.org. I've attempted to document all the steps needed in building the experiment, and getting it to work online, but if there are other unanswered questions I recommend jumping over to the PsychoPy discourse: https://discourse.psychopy.org/
Experimental Paradigms written for PsychoPy
A introduction to purrr
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Intro to R for Data Analysis 3-day Workshop
A high-level introduction to using R for Item Response Theory
A collection of functions and step-by-step examples for marketing analytics
Inspired by Hartley Brody, this cheat sheet is about web scraping with rvest,httr and Rselenium. This is a r version of this blog https://blog.hartleybrody.com/web-scraping-cheat-sheet/
R for data science
:chart_with_upwards_trend: Machine Learning from the perspective of a Statistician using R
Basic Analysis, undergraduate real analysis textbook
Radboud Summerschool 2019: Complexity Methods for Behavioural Science
Code and tutorials to visualise your data that is both beautiful *and* statistically valid
Recipes for using R's data.table package
"Did you mean?" for R.
Resource Guide for learning how to simulate and model Reinforcement Learning
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
Curating Research Assets in Behavioral Sciences: A tutorial on organizing and curating research materials using RStudio & the Git version control system
:loudspeaker: QCBS R Workshop - The RMarkdown universe
Lecture notes for research skills course
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.