QuickLearnKit¶
QuickLearnKit is a learning-first machine learning utilities library designed to simplify common workflows while preserving full control for advanced users.
Remove mechanical friction so students can focus on concepts, not syntax.
Installation¶
pip install quicklearnkit
Overview¶
QuickLearnKit provides structured, readable tools for:
- Simplified model imports
- Dataset sampling and utilities
- Train–test splitting
- Probabilistic, group-aware imputation
- Teaching-friendly visualization wrappers
- Notebook → Script pipeline compilation
Documentation¶
Navigate by section:
📦 Model Imports¶
Quick access to commonly used regression and classification models.
👉 Model Imports
🛠 Utilities¶
Tools for sampling, splitting, imputation, and random data generation.
👉 Utilities
📊 Visualization¶
Seaborn/matplotlib wrappers with optional value labels.
👉 Visualization
🧱 Pipeline (Notebook → Script Bridge)¶
Convert experimental notebook code into clean, reproducible scripts.
👉 Pipeline
Design Philosophy¶
QuickLearnKit balances:
Beginner simplicity × Advanced control
It supports:
- Learning
- Experimentation
- Structured building
—without introducing heavy workflow orchestration systems.