Recently, Laurence Moroney advised professionals to showcase your skills by initiating a project on GitHub covering the relevant aspects of your portfolio and let your professional network know you through work. I have followed up on his advice and put together a project on GitHub. I am writing this post to motivate others and also to build my own portfolio. I will go through the key building blocks of this project.
I have covered below Data Science / DevOps technologies to manage Large ML Projects.
- Setting up Git Project
- Basic ML project Structure
- Data Explorations using Jupyter Notebooks
- Developing and deploying ML Models
- Python Documentation
- Creating Installable Python Package and hosting on PyPi
- Deploying the Package Docs on readthedocs server
- Adding Auto test and setting CI/CD.
- Preparing a Project Presentation and hosting on Slideshare
- Writing an article for Medium Publication
To read the complete article, follow below medium link.
