This composite pattern demonstrates a solution to a problem of Software Development domain using a combination of other individual code patterns.

Loading, accessing and visualizing data from Netezza Performance server

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.

WARNING: This repository is no longer maintained ⚠️ This repository will not be updated. The repository will be kept available in read-only mode. Refer to https://github.com/IBM/sms-spam-filter-using-hortonworks for a similar example.

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.

Built for developers familiar with IBM Power systems that are looking to leverage IBM's new PowerAI offering for machine learning.

Analyze large data sets collected from a long-range IoT system that uses LoRaWAN networking

Walkthrough the data science life cycle with different tools, techniques, and algorithms. Use AIF360, pandas, and Jupyter notebooks to build and deploy a model on Watson Machine Learning.

A Jupyter notebook that uses the Watson Visual Recognition and Natural Language Understanding services to enrich Facebook Analytics and uses Cognos Dashboard Embedded to explore and visualize the results in Watson Studio

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

A jupyter notebook that provides analysis for StarCraft 2 replays

Run a Jupyter Notebook to detect, track, and count cars in a video using Maximo Visual Insights (formerly PowerAI Vision) and OpenCV

Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch