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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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This web page is supposed to provide a dataset of iris flowers in CSV format, but it crashes and shows an error message. Kaggle is a platform for data science and machine learning, but this page does not work properly.
iris.csv. Cannot retrieve latest commit at this time. History. Preview. Code. Blame. 151 lines (151 loc) · 2.67 KB. Raw. scikit-learn: machine learning in Python. Contribute to scikit-learn/scikit-learn development by creating an account on GitHub.
Download iris.csv, a file of Iris data used for machine learning and statistics. This file is part of the Prediction course offered by the Sloan School of Management at MIT.
Iris.csv is a classic dataset for evaluating classification methods, containing 150 instances of 3 classes of iris plants with 4 features each. The dataset is available for download and has associated papers, reviews, and variables information.
May 15, 2024 · Learn about the Iris dataset, a well-known and commonly used dataset for classification and clustering algorithms. The dataset consists of 150 samples of iris flowers from three species, each with four features: sepal length, sepal width, petal length, and petal width.
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Learn how to load, plot and analyze the Iris dataset, a classic machine learning dataset with 150 samples of 3 iris types. See how to use PCA to visualize the first three principal components of the data.