oibsip_taskno1 and Iris-Flower-Classification

oibsip_taskno1

Emerging

Iris-Flower-Classification

Experimental

Maintenance 0/25

Adoption 7/25

Maturity 8/25

Community 18/25

Maintenance 2/25

Adoption 3/25

Maturity 8/25

Community 12/25

Stars: 29

Forks: 16

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: —

Stars: 4

Forks: 1

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: —

No License Stale 6m No Package No Dependents

About oibsip_taskno1

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.

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.

botany horticulture plant-identification environmental-monitoring species-classification

About Iris-Flower-Classification

DeMoN-7/Iris-Flower-Classification

Beginner project to learn classification in Machine Learning using python

Related comparisons

oibsip_taskno1 and Iris_Classification oibsip_taskno1 and IRIS-Flower-classification

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