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Dive into machine learning with the ‘Iris Species ML Classification’ project. This repository uses Python and scikit-learn to classify Iris flower species. It showcases data exploration, visualization techniques, and model building, serving as a practical example of machine learning application.

www.kaggle.com/joannaelendu/machine-learning-with-iris-classification-study
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Iris Species ML Classification

Overview

A Python-based project demonstrating the classification of Iris species using scikit-learn.

Installation

  • Python
  • scikit-learn
  • pandas
  • matplotlib

Features

  • Data exploration and preprocessing.
  • Visualization of Iris dataset.
  • Building and evaluating a classification model.

Usage

Follow the Jupyter notebook for step-by-step instructions on executing the model.

About

Dive into machine learning with the ‘Iris Species ML Classification’ project. This repository uses Python and scikit-learn to classify Iris flower species. It showcases data exploration, visualization techniques, and model building, serving as a practical example of machine learning application.

www.kaggle.com/joannaelendu/machine-learning-with-iris-classification-study

Topics

python machine-learning scikit-learn data-visualization supervised-learning classification data-analysis pattern-recognition iris-dataset

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