This two day workshop will introduce students to data exploration and machine learning techniques. Students will learn about the data science workflow and will practice exploring and visualising data using Python and built-in libraries. Students will also explore the differences between supervised and unsupervised learning techniques and practice creating predictive regression models.
Module 1: Introduction to Machine Learning (2.5 hours)
Module 2: Exploring and using data sets (2.5 hours)
Module 3: Supervised vs. unsupervised learning (2.5 hours)
Module 4: Model Evaluation (2.5 hours)
After this lesson, you will be able to:
Beginner/intermediate. This workshop is for analysts, product managers, mathematicians, business managers or anyone else that wants to learn about machine learning. A background in computer science, programming, and/or statistics is preferred for this workshop. It is not required but you are expected to be somewhat familiar with the command line tools and how to write simple programs. Recommended that you take the “Python for Beginners” workshop prior to attending this.
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