Use scikit-learn to predict handwritten digits

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.

Mar 20, 2018
Jul 12, 2019
Science & Technology
Drop file to add data source.