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Jun 10, 2024 · A small dataset of iris flowers from 1936, often used for testing machine learning algorithms and visualizations. The repository contains the data in CSV and HTML formats, and a basic code example using D3.js to display the data on a web page.
Sepal_lengthSepal_widthPetal_lengthPetal_width5.13.51.40.24.93.01.40.24.73.21.30.24.63.11.50.2This web page is supposed to provide the iris dataset for machine learning projects, but it crashes due to a SyntaxError. The error message indicates a problem with the app.js file on Kaggle's static assets.
The Iris flower data set or Fisher's Iris data set is a multivariate data set used and made famous by the British statistician and biologist Ronald Fisher in his 1936 paper The use of multiple measurements in taxonomic problems as an example of linear discriminant analysis.
May 15, 2024 · Learn about the Iris dataset, a well-known and commonly used dataset for classification and clustering algorithms. Explore its features, applications, historical context, and how to load it in Python.
- 16 min
Learn how to load, plot and analyze the Iris Dataset, a classic machine learning dataset with 150 samples of three iris species. See how to use PCA to visualize the first three principal components and distinguish the irises.
This is one of the earliest datasets used in the literature on classification methods and widely used in statistics and machine learning. The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant.
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Mar 20, 2024 · Learn how to perform EDA on the Iris dataset using Python and Pandas library. See the statistical summary, visualization, and relationship of the features and species of iris flowers.