A Jupyter notebook using some standard techniques for data science and data engineering to analyze data for the 2017 flooding in Houston, TX.

This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).

Augment IBM Watson Natural Language Understanding APIs with a configurable mechanism for text classification, uses Watson Studio.

A pattern focusing on how to use scikit learn and python in Watson Studio to predict opioid prescribers based off of a 2014 kaggle dataset.

This journey helps to build a complete end-to-end analytics solution using IBM Watson Studio. This repository contains instructions to create a custom web interface to trigger the execution of Python code in Jupyter Notebook and visualise the response from Jupyter Notebook on IBM Watson Studio.

Get insights from OrientDB database using PyOrient through IBM Watson Studio

A collection of resources to facilitate your journey into data science

DSX trading bot example

Istanbul Sehir University. Semester: Spring 2017. Course Code & Name: CS 340 Computer Systems. Textbook: Learning Spark by Holden Karau, Andy Konwinski, Patrick Wendell, and Matei Zaharia. O’Reilly 2015.

Apache MXnet running in Apache Zeppelin and in DSX Jupyter

Watson Data Platform Quick Start guide + Data Science Experience Hands-on

Stream data from a Java program and use a Jupyter notebook to demonstrate charting of statistics based on historical and live events. IBM Db2 Event Store is used as the event database.

IBM Cloud Streaming Demo

How to get started with IBM's Data Science Experience

Hands on Introduction to Apache Spark, NLP, ML and Operationalizing Models for Data Engineers, Data Scientist and Developers

Hands on Introduction to Apache Spark, ML, SPSS Modeler, Operationalizing Models, and Decision Optimization for Data Engineers, Data Scientist and Developers

Build a model using Watson Machine Learning on Data Science Experience, running on IBM Cloud.

Load, analyze and visualize public health violation data to uncover interesting insights about New York Restaurants using Apache Spark, Python and Jupyter

Repository dedicated to IBM Data Science Experience tutorials

Tools built to help work with Python notebooks in Data Science Experience

Create and deploy a predictive model using Watson Studio and Watson Machine Learning