Welcome to Python Bootcamp: Bringing ML models into production

Bootcamp description

It's a 6-week-long PyLadies Amsterdam Python hands-on Bootcamp following a real-life industry scenario (presented by Dexter). Teaser: it’s all about energy :)

After finishing this bootcamp you will know more about:

• machine learning project lifecycle building blocks
• machine learning model deployment scenarios
• how to prepare your machine learning model for deployment
• hands-on with batch and real-time serverless deployments on Azure
• best practices, common mistakes to avoid during the deployment process

In this repository you will find:

• The content to follow our live sessions with home assignments
• Capstone assignment

Prerequisites

• git
• docker
• bash shell (git bash on Windows, bash on Linux, zsh/bash on Mac)
• Miniconda (or Anaconda)
• Visual Studio Code
• Hands-on Python data science related experience
• Some modeling experience with scikit-learn library is a pre
• Active Azure subscription

Out of the scope

• deep learning model deployments
• deployments in programming languages other than Python

Video records

Watch the lesson videos on the PyLadies Amsterdam YouTube channel and subscribe :P

• Lesson 1 Introduction here
• Lesson 2 Batch deployment here
• Lesson 3 Near real-time deployment here
• Lesson 4 ML Best practices here
• Capstone results here

Credits

This bootcamp was set up by @pyladiesams and @una-gal