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Sep 6, 2024 · Originally published at UCI Machine Learning Repository: Iris Data Set, this small dataset from 1936 is often used for testing out machine learning algorithms and visualizations (for example, Scatter Plot). Each row of the table represents an iris flower, including its species and dimensions of its botanical parts, sepal and petal, in centimeters.
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Forks 85 - The Iris Dataset · GitHub
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Revisions 11 - The Iris Dataset · GitHub
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Stars 72 - The Iris Dataset · GitHub
- Forks 85
Best dataset for small project.
A multivariate data set of 150 samples from three species of Iris flowers, used for linear discriminant analysis and machine learning. Learn about the data collection, features, classification, and visualization methods.
A classic dataset of 150 iris plants with 4 features and 3 classes, widely used for evaluating classification methods. The dataset includes variable descriptions, baseline model performance, papers citing the dataset, and reviews.
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.
Classify iris plants into three species in this classic dataset.
