Courses

Building a Model Prediction Server

In predictive modeling, training a model is only half the battle; predictions typically need to be “served” to other systems in production via an API or similar interface. We’ll build that model server together.
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Python for Data Science #1 – Intro

Using Python as a data analysis tool, focusing primarily on data wrangling via the pandas library. Includes both lecture and case study.
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Python for Data Science #2 – Intermediate

Builds on Intro to Python for DS. Covers control flow, functions, and an introduction to modeling with scikit-learn, along with basic environment management using Conda.
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Python for Data Science #3 – Advanced

Learn the basics of scikit-learn, version control with Git, building modular applications, and more, as we work through a real ML modeling problem together.
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Python for Web Scraping

The basics of HTML and web requests for people who want to scrape websites and have prior Python experience. Focuses on the beautifulsoup and requests libraries.
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Python Package Development

What makes a Python package and how you can build one yourself? We’ll answer those questions together as we develop our own small Python library.
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