Enhanced GitHub Actions and Data Processing

📅 2024-05-26 — Session: Enhanced GitHub Actions and Data Processing

🕒 12:45–14:05
🏷️ Labels: Github Actions, Python, Automation, Data Processing, Machine Learning
📂 Project: Dev
⭐ Priority: MEDIUM

The session aimed to enhance automation workflows using GitHub Actions and improve data processing scripts for machine learning projects.

Implemented temporary directory creation in GitHub Actions to ensure file operations run smoothly.
Resolved git push errors by ensuring local changes are aligned with remote repositories.
Explored various git branch merge strategies including merge, rebase, and fast-forward.
Enhanced logging in Python data processing scripts for better debugging and tracking.
Updated GitHub Actions workflows to manage Python script outputs and ensure data persistence.
Configured Git settings in GitHub Actions for accurate commit tracking.
Developed strategies for handling pooled urban areas in regression models and simulated city code 0 in datasets using Python.
Implemented GitHub Actions workflows to check file sizes and automate data processing tasks.
Addressed error handling in model training scripts and automated model updates using GitHub Actions.

Successfully updated and tested multiple GitHub Actions workflows to automate data processing and model training tasks.
Improved data processing scripts with enhanced logging and error handling.

Further refinement of GitHub Actions workflows for more complex automation scenarios.
Continuous integration of new data processing techniques into the existing framework.