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bda_r_demos

Bayesian Data Analysis demos for R

beacontoolkit

Tools for working with modern scientific data

beg-r

Source code for 'Beginning R' by Larry Pace

bokeh

Interactive Web Plotting for Python

bokeh-notebooks

Interactive Web Plotting with Bokeh in IPython notebook

california-crop-production-wages-analysis

A Los Angeles Times data analysis for the March 17, 2017 story "Wages rise on California farms. Americans still don’t want the job"

d3plus

A javascript library that extends D3.js to enable fast and beautiful visualizations.

data-wrangling

datasciencecoursera

Repository for Coursera's: The Data Sciencist's Toolbox Course

datasharing

The Leek group guide to data sharing

ethereum_demo

This is the code for "Ethereum Explained" by Siraj Raval on Youtube

gensim

Topic Modelling for Humans

gestalt-prototipo

Observaciones sobre el prototipo

gitvideo

graphicalmodel

Courera Version of Graphical Model.. Cooperate with Jian Guo.

modsimpy

Text and supporting code for Modeling and Simulation in Python

parallel_ml_tutorial

Tutorial on scikit-learn and IPython for parallel machine learning

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 ;)

pydata_chicago_june_2017

pygal

PYthon svg GrAph plotting Library

pyqtgraph

pyqtgraph main development repository

python-notebooks

IPython Notebooks from old blog posts

pytorch-tutorial

tutorial for researchers to learn deep learning with pytorch.

qs-course

Files and data for Quantitative Self Applied in Education (Aug 5-7 2015 Universidad del Caribe

scikit-learn

scikit-learn: machine learning in Python

shiny

Easy interactive web applications with R

shiny-examples

spark-notebook

Interactive and Reactive Data Science using Scala and Spark.

the-r-book

Some exercises in RStudio for QS Applie in Education

thinkdsp

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.