train-model and evaluate-model jobs in ci.yml, add scripts in Makefile

[wai-lin]

Assignment: [COURSE_CODE] - Assignment [X]: [Assignment Title]

Student Name: [Your Full Name]
GitHub Username: @[YourGitHubUsername]

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📝 Summary of Changes

1. ...
2. ...
3. ...

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✅ Deliverables Checklist

• Branching: Created a new branch for this assignment (e.g., assignment-X) and this PR targets my fork's main branch.
• Code Implementation: All required scripts/code changes have been implemented as per the assignment instructions.
• Configuration Files: pyproject.toml, Makefile or other configuration files updated if necessary.
• Reflection Questions: All reflection questions for this assignment are answered in the section below.
• Screenshots: Relevant screenshots (e.g., MLflow UI, API docs, Grafana dashboard) are included or linked below (if required by the assignment).
• Peer Review: This PR has been peer-reviewed (if applicable for this assignment).

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🤔 Reflection Questions & Answers

Question 1: [Paste Assignment-Specific Question 1 Here]
Your answer here

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📸 Screenshots / Outputs (if applicable)

❓ Questions / Blockers / Points for Reviewer

🙋 Self-Review Checklist (Before Submitting for Peer or Instructor Review)

• Assignment Requirements: I have re-read the assignment requirements and believe my submission meets them.
• Code Functionality: I have tested the core functionality of my changes locally.
• Code Quality Tools:
  • make format (or uv run ruff format .) run: Code is formatted.
  • make lint (or uv run ruff check .) run: No linting errors reported (or unavoidable ones are justified).
  • make type-check (or uv run mypy .) run: No Mypy errors reported (or unavoidable ones are justified).
• Testing: make test (or uv run pytest) run: All tests pass.
• Clarity: My code is reasonably commented, and variable/function names are clear.
• PR Description: This PR description is fully filled out, including reflection answers.
• Commit History: My commit messages are descriptive and atomic where possible.
• No Sensitive Information: I have not committed any API keys, passwords, or other sensitive data.