Scaling ML and Data Pipelines with Airflow in Python

View Live Presentation

Scaling ML and Data Pipelines with Airflow (in Python)

Code Repo: https://github.com/axsauze/crypto-ml

Running Presentation

You can also run the presentation on a local web server. Clone this repository and run the presentation like so:

npm install
grunt serve

The presentation can now be accessed on localhost:8080. Note that this web application is configured to bind to hostname 0.0.0.0, which means that once the Grunt server is running, it will be accessible from external hosts as well (using the current host's public IP address).