IBMDataScience/autoai

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IBMDataScience/autoai

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demo of IBM Watson Studio AutoAI's Tool

sample-notebooks

Sample notebooks that are published by IBM for IBM Data Science Experience.

SparkSummitDemo

PySpark Notebook and Shiny App for Demo

Jupyter Notebook

DSx-Desktop

IBM Data Science Experience Desktop was built for those who want to download and play locally. Analyze, learn, and build with the tools you love, right on your desktop.

watson-studio-shiny-apps

dsx-tutorials

A collection of tutorials, demos, and use cases for IBM Data Science Experience http://datascience.ibm.com/

Jupyter Notebook

visualize-high-dim-data-fast

word2vec

hands on lab instructions to build Spark-based machine learning models for capturing word meanings

Jupyter Notebook

election2016

Clinton and Trump may have used some Machine Learning

Jupyter Notebook

datascix

Repository hosting change log entries for use in the What's New page within Data Science Experience (DSX).

NorthwesternAI

Northwestern AI MS Class Presentation and Additional Materials

Jupyter Notebook

visualize-data-fast

Describe how to visualize data fast using the Data Refinery tool in Watson Studio

Strata2016

Here are materials for labs and demos shown at Strata Conference 2016 in New York City

Jupyter Notebook

objectStoreR

R Package to read/write files from Object Storage in Bluemix

WML-KidneyDiseaseTutorial

Strata2017

Jupyter Notebook

stocks-portfolio-optimization

Portfolio Optimization of S&P500 stocks using Watson Studio Desktop

Jupyter Notebook

ModelerFlowsExamples

Example projects and stream files for Modeler

bank-marketing-classification

build a times series model using Watson Studio Desktop and modeler flows

Watson-Studio-Examples

Jupyter Notebook

digits

Jupyter Notebook

Strata2018

Materials supporting demos for Strata 2018

Jupyter Notebook

DSX-Local

Data Science Experience Local

buildings_blog

WOW2016

Jupyter Notebook

clickers

hands on exercises for clickers using Data Refinery and Modeler Flows

AutoAITruckPrediction

This repository contains data, code, and instructions on how to train a model for predicting battery failure using AutoAI.

Jupyter Notebook

wow-lab-to-production

This is the repository for the Hands on Lab for the 2016 World of Watson for "From Lab to Production: Scale Up Your Data Science with IBM Data Science Experience"

Jupyter Notebook