vakjha Goto Github PK

2016-06-27-first-ds-course-user

Slides for the "A first-year undergraduate data science course" talk at useR 2016 at Stanford

amazon-redshift-utils

Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment

apm_exercises

Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)

apm_kuhn

Applied Predictive Modeling in R Tutorial by Max Kuhn

azure-machine-learning-lab

The purpose of this lab is to introduce you to hosting machine learning models in Microsoft Azure cloud, including basic design, experimentation and development tasks.

bandits

Python library for Multi-Armed Bandits

coursera

coursera-ds

Coursera Data Science Class

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

datasciencecoursera

Reporitory to update ds- coursera work

datasharing

The Leek group guide to data sharing

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

fastai

The fast.ai deep learning library, lessons, and tutorials

free-programming-books

hadoop-tutorials

hadoop-tutorials

ichps2015_class_imbalance

Data and code for "Predictive Modeling on Data with Severe Class Imbalance: Applications on Electronic Health Records"

interactive-data-viz

malone_opendatascicon

repository for code related to the end-to-end data analysis in python workshop, from the Open Data Science Conference 2015

neo4j-presentations

neo4j-rstats

Examples of using Neo4j with R.

network-analysis-made-simple

For PyCon, PyData, and beyond!

odsc

ODSC West Fall 2015 Workshop (Intro Deep Learning)

odsc-1

ODSC West 2017

odsc-pdaibp-slides

odsc-pisa

Source Material for ODSC Pre-Conference Workshop

odsc2016

Open Data Science Conference 2016

odsc_rules

Notes and code for the workshop "Rule-Based Models for Regression and Classification”

odscon-2015

Slides and material for open data science

odscon-sf-2015

Material for ODSCON San Francisco 2015

preparingdataworkshop

Materials for workshop on preparing data for modeling and analysis using R