https://github.com/archanakokate/iris_flower_classification

Analyzing and modeling the Iris dataset with the aim of classifying the species of Iris flowers.
https://github.com/archanakokate/iris_flower_classification

analytics data-visualization exploratory-data-analysis machine-learning-algorithms

Last synced: about 2 months ago
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Analyzing and modeling the Iris dataset with the aim of classifying the species of Iris flowers.

• Host: GitHub
• URL: https://github.com/archanakokate/iris_flower_classification
• Owner: Archanakokate
• Created: 2023-07-03T10:09:34.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-09-13T07:07:34.000Z (over 1 year ago)
• Last Synced: 2023-09-13T15:24:03.985Z (over 1 year ago)
• Topics: analytics, data-visualization, exploratory-data-analysis, machine-learning-algorithms
• Language: Jupyter Notebook
• Homepage:
• Size: 477 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## LetsGrowMore Internship Project - DataScience

### Task-1

## Iris-Flower-Classification

The Iris flower data set is a multivariate data set introduced by the British statistician and biologist Ronald Fisher in his 1936 paper.

#### Dataset

The dataset contains a set of 150 records under 5 attributes :- 

   1. sepal length in cm

   2. sepal width in cm

   3. petal length in cm

   4. petal width in cm

   5. class: 

      -- Iris Setosa

      -- Iris Versicolour

      -- Iris Virginica

This project presents a comprehensive analysis of the Iris dataset using various Classification and Ensemble models aiming to classify the species of Iris flowers.