Hands-On Data Science with Python
Sunday, March 15—Monday, March 16
What you'll learn, and how you can apply it
Who is this presentation for?
- Basic Python ability
- Familiarity with Pandas recommended, but not required
Hardware and/or installation requirements:
We will walk through all the steps – from prototyping to production – of developing a machine learning pipeline. We’ll look at data cleaning, feature engineering, model building/evaluation, and deployment. Students will extend these models into two applications from real-world datasets. All work will be done in Python.
About your instructor
Don Fox data scientist in residence in Boston for The Data Incubator. Born and raised in South Texas, Don has a PhD in chemical engineer where he researched renewable energy systems, where he developed computational tools to analyze the performance of these systems. Prior to joining The Data Incubator, Don developed numerical models for a geothermal energy startup.
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