birddata 0.1.1

A beginner-friendly bird classification dataset

🐦 birddata

A beginner-friendly dataset for bird classification – inspired by the classic load_iris, but with a fresh and fun twist!

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📌 Description

If you're learning Machine Learning and want a clean, ready-to-use dataset to practice classification, birddata is for you!

Just like load_iris, it returns a pandas DataFrame – but instead of flowers, it's about birds 🐥.

Designed specifically for beginners, this dataset helps you practice:

• Binary & multi-class classification
• Feature encoding
• Data scaling
• Building models using scikit-learn

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🔍 Features

Feature	Type	Description
Wing_Span	Numerical	Wingspan of the bird (in cm)
Beak_Length	Numerical	Length of the beak (in cm)
Can_Fly	Binary (0/1)	Can the bird fly?
Is_Nocturnal	Binary (0/1)	Is the bird active at night?
Habitat_Type	Categorical	Encoded as numbers (e.g., forest)
Bird_Type	Categorical	Target variable (Sparrow, Eagle etc)

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🚀 Installation

pip install birddata

from birddata import load_bird import pandas as pd

df = load_bird() print(df.head())

🙌 Acknowledgements

• Inspired by the classic load_iris dataset from the scikit-learn library
• Thanks to the amazing open-source Python community 💙
• Special thanks to scikit-learn and the Python Software Foundation