The Data Incubator offers a foundation in building intelligent business applications using machine learning. Zachary Glassman walks you through all the steps of developing a machine learning pipeline. You’ll explore data cleaning, feature engineering, model building and evaluation, and deployment and extend these models into two applications using a real-world dataset. All work will be done in Python.
Anomaly detection
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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Comments
Hi Suvrat,
I would try to familiarize yourself with Pandas, NumPy, and Matplotlib. We will be giving each person a cloud server for the duration of the course, so the only thing you will need installed
on your laptop is a web browser.
Zach
Zach, are there any pre-requisites (software, libraries etc.) we need to be aware of in preparation of the course?