Run Node.js code in Python notebooks

A IBM Developer code pattern for Watson Studio: forecast the stock market with Python Notebooks, SPSS Modeler, Data Refinery, and other Watson Studio tools.

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

Resources for weekly Data Science Lunch & Learns

Use Watson Visual Recognition and Core ML to create a Kitura-based iOS game that has a user search for a predetermined list of objects

In this workshop you will learn about pandas and geopandas by exploring UK Crime Data in a Jupyter notebook

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

Use a robot to answer queries on financial data by integrating with the IBM Watson Assistant service and IBM Watson Studio

Use Machine Learning to Predict Bank Client's CD Purchase with XGBoost and Scikit Learn in Watson Studio

WARNING: This repository is no longer maintained ⚠️ This repository will not be updated. The repository will be kept available in read-only mode.

Use Watson Analytics and Pixie Dust to visualize US Food Insecurity

Use Watson Studio and PyTorch to create a machine learning model to recognize hand-written digits

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

Can we build a neural network that can tell the difference between Stephen Colbert and Conan O'Brien? Yes, yes we can!

Use AutoAI to detect fraud

This workshop walks you though some of the most interesting features of pandas using structured data that contains information about the boroughs in London.

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.

Peer-Graded Assignment: Capstone Project Notebook | Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.

How do we process data in different formats like docx, pdf etc and generate insights to be linked with structured data in database?This pattern helps in establishing relations between structured & unstructured data to generate recommendations using Watson NLU & Watson Studio.

This code pattern uses Watson Visual Recognition, Watson Studio, and a Python notebook to demonstrate a way to detect covered faces.

Predict home value using IBM Watson machine learning and Db2 database.

Integrate Watson Studio and Watson Campaign Automation to tailor your target audience for effective campaigns

Resources for IBM Dev Day-Data Science Track https://ibm.biz/ibmdevday

In this workshop you will learn how to build and deploy your own AI Models

TBD

Introduction to trusted AI. Learn to use fairness algorithms to reduce and mitigate bias in data and models with aif360 and explain models with aix360

Build models that learn over time with Watson Machine Learning, Watson Studio and IBM Db2 Warehouse on Cloud

Use PyWren over IBM Cloud Functions to perform face recognition deep learning