Description:

In this workshop we will learn how to perform foundational machine learning tasks using scikit-learn. Scikit-learn is a popular Python library that allows you to streamline machine learning projects and offers a wide variety of models. During the four days, we will have hands-on experience on supervised and unsupervised methods, including classification, regression, clustering, and dimensionality reduction, as well as methods for validation and evaluation. We will also learn how to use other handy scikit-learning tools, like pipelines.  

Prerequisites: Participants should be familiar with Python at the level of the Python Fundamentals workshop, another introductory Python workshop, or be a self-taught Python coder. No previous machine learning knowledge is assumed.