Zachary Glassman demonstrates how to build intelligent business applications using machine learning, taking you through each step in developing a machine learning pipeline, from prototyping to production. You’ll explore data cleaning, feature engineering, model building and evaluation, and deployment and extend your knowledge by building two applications from real-world datasets. All work will be done in Python.
Zachary Glassman is a data scientist in residence at the Data Incubator. Zachary has a passion for building data tools and teaching others to use Python. He studied physics and mathematics as an undergraduate at Pomona College and holds a master’s degree in atomic physics from the University of Maryland.
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During the course you will be using servers that we have provisioned for you. All you need is a laptop with a web browser installed!
Is there any software that we need to install for this class? Will you be doing this on Linux?
It would also be useful to have some familiarity with libraries like pandas
A good understanding of basic python will be necessary. It would also be useful to have some familiarity with libraries like pandas and numpy.
I have the same question as Jay.
How much experience in Python is needed for this class?