umeshkbhaskar Goto Github PK

2015

aas

Code to accompany Advanced Analytics with Spark from O'Reilly Media

angularjslivelessons

This is the source code repository to accompany my AngularJS LiveLessons. The code more or less mirrors what I talk about in the videos and demonstrates the key concepts of each lesson and sub-lesson.

beginningjavascript

This repo contains the examples, notes and problems for my O'Reilly video "Beginning Programming with JavaScript"

coursera-r-programming

Repo for Coursera.com online course: R Programming

d3

A JavaScript visualization library for HTML and SVG.

d3-book

Sample code files to accompany the book “Interactive Data Visualization for the Web”

datasciencecoursera

datasharing

The Leek group guide to data sharing

devtools

Tools to make an R developer's life easier

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

fpinscala

Code, exercises, answers, and hints to go along with the book "Functional Programming in Scala"

getting-and-cleaning-data_peer-assessment

project

ggvis

Interactive grammar of graphics for R

hands-on-scala-js

Better documentation for Scala.js

igorr

Read binary files saved by Igor Pro (including Neuromatic data)

impress.js

It's a presentation framework based on the power of CSS3 transforms and transitions in modern browsers and inspired by the idea behind prezi.com.

intro

Course materials for "Introduction to Data Science with R", a video course by RStudio and O'Reilly Media

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

kalman-and-bayesian-filters-in-python

Kalman Filter textbook using Ipython Notebook. This book takes a minimally mathematical approach, focusing on building intuition and experience, not formal proofs. Includes Kalman filters, Extended Kalman filters, unscented filters, and more. Includes exercises with solutions.

kruschke-doing_bayesian_data_analysis

John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS

learning-spark

Example code from Learning Spark book

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 ;)

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

r-and-d3

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

rnotebook

A browser based R Notebook

rsqlite

R interface for SQLite

scala-coursera

Functional Programming Principles in Scala (Sep 18th 2012)

scala-notebook

Interactive Scala REPL in a browser