etorpy / LMCO

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IBM Proof of Technology - Data Science Experience

Description:

Use IBM’s Data Science Experience (DSX) and Bluemix cloud services to create a working cloud-based application from start to finish. Participants will be led through a series of three labs that build upon one another so it is important that they are completed in order.

  1. Lab-1 - The first lab will begin with loading raw delimited data into DB2 Warehouse for Cloud and interacting with that data from a Jupyter notebook in DSX with python.

  2. Lab-2 - The second lab will leverage Spark machine learning (SparkML) on the loaded data to create categorical predictions using pyspark and a supervised learning model and store the results back to the database.

  3. Lab-3 - The final lab will guide participants in creating an R notebook and Shiny UI in DSX using RStudio.

Instructions:

Step 1. Sign up for the IBM Data Science Experience (DSX). We recommend using the Firefox browser.

NOTE: If you already have a DSX account, please skip to Step 2.

Create an account.

  1. Go to http://datascience.ibm.com/

  2. Click the signup button on the top right

  1. Enter your email and press Continue. Note: If you already have an IBM id you can click Sign in with your IBM id -- if you don't have a DSX account one will be created for you.
  1. You should get an email from "ibmacct@us.ibm.com" with your IBMid Confirmation code
  1. Then, on the next page fill in the corresponding fields and click CREATE ACCOUNT
  1. In the new page, write your email and click CONTINUE
  1. Write your recently generated password and click on SIGN IN
  1. It will take a minute to create your account. When ready, click on Get Started.

You are now in the Data Science Experience landing page. Your environment is automatically set up with one Apache Spark instance and 5 GB of object storage. From here you can explore any of the tutorials, videos, sample notebooks, totorials or articles in the community.

Step 2. Create a project

  1. Click on Projects > View All Projects to see a list of your projects. You should only see a default project.
  1. Click on the create project icon on the top right of the project list.
  1. Type a name for your project. For instance, "DSX Lab". A Spark service and an object storage will be automatically selected as well as a container with a default name. A container is a directory on the object storage. Click on Create.

You are now in your new project where you can create notebooks and data assets as well as add collaborators.

You are now ready to begin Lab-1.

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Language:JavaScript 79.1%Language:Jupyter Notebook 14.1%Language:CSS 3.8%Language:R 2.2%Language:HTML 0.8%