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@lasithadilshan lasithadilshan released this 18 Mar 15:06
171ea71

Full Changelog: https://github.com/lasithadilshan/ld-machinelearning/commits/v1.0.0

Release Notes for v1.0.0

Commits

data:
- url: "https://github.com/lasithadilshan/ld-machinelearning/commit/171ea71cae1bc7069f92d8092068f872f80bf222"
  message: "streamlit_app name Updated in README.md"
  author: "Lasitha Thilakarathna"
  date: "2025-03-18T14:47:51Z"
- url: "https://github.com/lasithadilshan/ld-machinelearning/commit/16eb792b19e1cb4018166112d98ec4bb56f07a35"
  message: "Updated the README.md"
  author: "Lasitha Thilakarathna"
  date: "2025-03-18T14:45:53Z"
- url: "https://github.com/lasithadilshan/ld-machinelearning/commit/36029b8f534dcf1a21df8b2dcdb763987bdc52a8"
  message: "Update streamlit_app.py\n\nHIDE STREAMLIT BRANDING"
  author: "Lasitha Thilakarathna"
  date: "2025-03-18T14:37:59Z"
- url: "https://github.com/lasithadilshan/ld-machinelearning/commit/c8d52246b829a74979848f1e46a511fd86d6f868"
  message: "Update streamlit_app.py"
  author: "Lasitha Thilakarathna"
  date: "2025-03-18T14:19:11Z"
- url: "https://github.com/lasithadilshan/ld-machinelearning/commit/cc4e8ef8d61b908249f53c4739fbba8daf89539c"
  message: "Update requirements.txt"
  author: "Lasitha Thilakarathna"
  date: "2025-03-18T13:40:57Z"
- url: "https://github.com/lasithadilshan/ld-machinelearning/commit/2187ae4e9c062c2c436cd3fee406bfeaaedee4fc"
  message: "Update README.md"
  author: "Lasitha Thilakarathna"
  date: "2025-03-18T13:39:04Z"
- url: "https://github.com/lasithadilshan/ld-machinelearning/commit/f687fbeef1d8e2e626903163f51b6546b99561a5"
  message: "Initial commit"
  author: "Lasitha Thilakarathna"
  date: "2025-03-18T13:33:55Z"

Pull Requests

No pull requests were merged for this release.

Issues

No issues were closed for this release.


This is the first release of the ld-machinelearning repository, featuring the initial setup and configuration of the machine learning app built with Streamlit. This release includes updates to the README.md file, the addition of requirements.txt, and initial implementations in streamlit_app.py.

You can view the live demo of the application here.

Thank you for using ld-machinelearning. We look forward to your feedback and contributions!