Classification, Regression and Model Selection using Python’s Scikit-learn

This workshop will introduce participants to machine learning in Python. We’ll start with a brief explanation of Anaconda and the Jupyter notebook environment (although not required for the participant, the instructor will be using these tools). After an introduction to classification, regression and model selection, we’ll use a couple of example datasets to demonstrate how to create, apply and evaluate models in Scikit-learn. Although not required, we recommend all participants to have a basic knowledge of Python.