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.
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.
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.
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.
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.
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.