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 deployments 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
- 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
- deep learning model deployments
- deployments in different programming languages than Python
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
This bootcamp was set up by @pyladiesams and @EzheZhezhe