Model Documentation and Coding Guidelines - Python

This paper was very useful. This covers Data Source, Purpose, Model Accuracy, Recommendations. The key metrics (Screenshot from the paper)

Structuring Machine Learning Projects

ML Experiment Parameters

• Model Parameters
• Learning Rate
• Number of Epochs Run
• Training Loss
• Validation Loss
• CPU %%
• Memory %%
• Disk usage

Happy Learning!!!