semanurkps / Machine_Learning_Pipeline

Files to Support Class by Thom Ives and Ghaith Sankari and to build examples for textbook

The Machine Learning Pipeline

Thom Ives and Ghaith Sankari

Hi Family Students. This repo holds the files to support our class work.

0. Be sure to do weekly pulls on Jonathan Papworth's Class Repository that gives overviews of each class meeting and provides links to the recorded class meeting videos. Thanks Jonathan!
1. The code and notes to support work for each phase of the class are in directories with a number at the front of the directory name to indicate the suggested order.
2. You will learn some basic git.
3. If you are on Windows, you will want to install Git for Windows.
   • Git For Windows
4. After git is installed, you will want to use the git bash terminal for our work.
   • Once you see how simple and elegant git usage from the git bash shell is, feel free to play around with tools that help you use git from within VS Code.
   • I suggest installing an SSH key. You can use this guide
5. To clone our course repo from git bash using SSH:
   • At your git bash prompt git clone [e-mail]:ThomIves/Machine_Learning_Pipeline.git
   • Change your directory in your git bash terminal to Machine_Learning_Pipeline and you will see the course directories for our work.
   • Each time you come back to the clone of our course directory on your local machine, open git bash in the directory and run git pull origin main. This will update the course directory with the latest updates.
6. Check this main README.md file for updates and notices too. If there are any changes in this file, you will see them after running git pull origin main.