Add ML Failure Lab with scoped Python starter issues

[sricharanreddycheruku]

Add ML Failure Lab to the project list with live issue loading enabled. It is a new MIT-licensed Python project with small synthetic experiments that expose misleading ML results, corrections and tests of the stated requirement.

I maintain the project. New contributors can choose scoped tasks about batch metrics, feature ordering, data access or evaluation, discuss their approach in the issue and submit a complete case. The contribution map groups tasks by starting knowledge. One contributor currently has an agreed plan and is assigned.

• Project: https://github.com/sricharanreddycheruku/ml-failure-lab
• Contribution map: https://github.com/sricharanreddycheruku/ml-failure-lab/blob/main/docs/contribution-map.md
• Starter issues: https://github.com/sricharanreddycheruku/ml-failure-lab/labels/good%20first%20issue

Validation: imported projectList and verified exactly one entry for the repository, the expected tags and live issue loading; ran npm run build; inspected the generated homepage for the project title, description and direct repository link. The entry uses the existing default image and adds no dependency or credential.