Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/shreyashankar/oreilly-monitoring
https://github.com/shreyashankar/oreilly-monitoring
Last synced: 2 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/shreyashankar/oreilly-monitoring
- Owner: shreyashankar
- Created: 2022-06-13T04:09:49.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-06-20T01:55:25.000Z (over 2 years ago)
- Last Synced: 2024-04-11T15:40:26.417Z (9 months ago)
- Language: Jupyter Notebook
- Size: 3.43 MB
- Stars: 7
- Watchers: 3
- Forks: 6
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# ML Monitoring Tutorial
Author: shreyashankar
## Requirements
You can do this entire tutorial locally. You will need the following:
* Internet connection to download the data
* Python 3.9+
* Unix-based shell (use WSL if on Windows)We recommend you create a conda or virtual environment for this demo.
## Setup
* Navigate to the root and download the requirements by running `pip install -r requirements.txt` in your terminal
* Download the data by running `source download.sh` in your terminal
* Open jupyter by running `jupyter-lab` in your terminal or opening the notebook in an editor of your choice (e.g., VSCode)
* Follow the notebooks in order