Zachary Glassman offers a foundation in building intelligent business applications using machine learning, walking you through all the steps of developing a machine learning pipeline, from prototyping to production. You’ll explore data cleaning, feature engineering, model building and evaluation, and deployment and extend these models into two applications using real-world datasets. All work will be done in Python.
Day 1: Anomaly detection
Day 2: Recommendation engine
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.
Get the Platinum pass or the Training pass to add this course to your package.
Comments on this page are now closed.
©2018, O’Reilly UK Ltd • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • email@example.com