Learning-first machine learning utilities library for simplified imports, sampling, splitting, and probabilistic preprocessing.
Project description
QuickLearnKit
QuickLearnKit is a learning-first machine learning utilities library designed to simplify common ML workflows while preserving full control for advanced users.
It provides:
- Simplified model imports
- Sampling and dataset utilities
- Train–test splitting
- Probabilistic, group-aware imputation
- Teaching-friendly visualization wrappers
- Notebook → Script pipeline compilation
Installation
pip install quicklearnkit
Documentation
Full documentation is available at:
👉 https://quicklearnkit.readthedocs.io/en/latest/
Philosophy
Remove mechanical friction so students can focus on concepts, not syntax.
QuickLearnKit bridges:
Learning → Experimentation → Structured building
License
MIT License
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