All the codes used in my articles for Linux Handbook will be found here. Please find the appropriate branch

This repository contains the code and explanation for various machine learning articles that I have written for Linux handbook. The articles cover topics such as:

• How to Automate Hyperparameter Tuning and Experiment Tracking for Cloud-Based Training

• Will be updated with time...

To run the code in this repository, you need to have:

• Python 3.9 or higher
• Jupyter Notebook or Google Colab
• Check the branches for more info

To run the code in this repository, follow these steps:

1. Clone the branch you want to your local machine or notebook environment
2. Open the notebook that corresponds to the article that you want to read and run
3. Follow the instruction in each branch and execute them in order