fyp-jupyter

What problem does it solve?

This Skill provides a complete, phase-based data science research workflow for Jupyter notebooks, enabling you to plan, run, and document Final Year Projects with reduced manual effort.

Core Features & Use Cases

• Phase-guided workflow: Guides you through CRISP-DM-inspired phases (Setup, Data Cleaning, EDA, Modeling, Validation, Documentation) with actionable checklists and templates.
• MLflow integration: Sets up and tracks experiments, enabling you to compare runs and maintain reproducibility.
• Phase-based planning: Weekly 10-week FYP timeline and decision framework to know what to work on each day.
• Skill integration: Connects with other skills (e.g., crossvit-covid19-fyp, fyp-statistical-validator) for end-to-end automation.

For example, a 10-week data science project would use this Skill to structure activities and maintain an organized ML experiment log.

Quick Start

Use this skill to start a guided data science workflow in your Jupyter project, enabling MLflow tracking and weekly planning.