Use scikit-learn to predict handwritten digits
Science & Technology
Jul 12, 2019

This notebook contains steps and code to work with the watson-machine-learning-client library available in PyPI repository. It introduces commands for getting data and for basic data exploration, pipeline creation, model training and evaluation, model persistance to the Watson Machine Learning (WML) repository, model deployment, and scoring. This notebook uses Python 3.6, scikit-learn and the watson-machine-learning-client package.

Drag and drop files to add data source.