Apaulgithub/oibsip_taskno1

This project showcases iris flower classification using machine learning. It's a beginner-friendly example of data science and classification techniques. Explore the code, Jupyter Notebook, and enhance your data science skills.

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This project helps botanists, horticulturists, or environmental monitoring professionals automatically identify iris flower species. By inputting measurements like sepal length and petal width, it tells you if the flower is an Iris setosa, Iris versicolor, or Iris virginica. It's designed for anyone needing to quickly and accurately classify iris flowers based on their physical characteristics.

No commits in the last 6 months.

Use this if you need an automated way to classify iris flowers into their specific species based on simple measurements.

Not ideal if you need to classify plant species other than irises, or require a more complex botanical identification system beyond these three species.

botany horticulture plant-identification environmental-monitoring species-classification
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 18 / 25

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29

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16

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Jupyter Notebook

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Last pushed

Feb 11, 2025

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