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      • 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.
      gist.github.com/curran/a08a1080b88344b0c8a7

      The Iris Dataset · GitHub

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  3. gist.github.com › curran › a08a1080b88344b0c8a7The Iris Dataset · GitHub

    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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  4. www.geeksforgeeks.org › iris-datasetIris Dataset - GeeksforGeeks

    May 15, 2024 · The Iris dataset is one of the most well-known and commonly used datasets in the field of machine learning and statistics. In this article, we will explore the Iris dataset in deep and learn about its uses and applications.

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  6. archive.ics.uci.edu › ml › datasetsIris - UCI Machine Learning Repository

    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.

  7. scikit-learn.org › datasets › plot_iris_datasetThe Iris Dataset — scikit-learn 1.5.2 documentation

    The Iris Dataset # This data sets consists of 3 different types of irises’ (Setosa, Versicolour, and Virginica) petal and sepal length, stored in a 150x4 numpy.ndarray. The rows being the samples and the columns being: Sepal Length, Sepal Width, Petal Length and Petal Width. The below plot uses the first two features.

  8. en.wikipedia.org › wiki › Iris_flower_data_setIris flower data set - Wikipedia

    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. [1] .

  9. towardsdatascience.com › classification-basicsClassification Basics: Walk-through with the Iris Data Set

    Jul 27, 2020 · To view the data more easily we can put this information into a data frame by using the Pandas library. Let’s create a data frame to store the data information about the flowers’ features first. import pandas as pd #make sure to save the data frame to a variable data = pd.DataFrame(iris.data) data.head()

  10. arcca.github.io › An-Introduction-to-MachineScikit Learn - The Iris Dataset – An Introduction to Machine ...

    The data set consists of 50 samples from each of three species of Iris (Iris setosa, Iris virginica and Iris versicolor). Four features were measured from each sample: the length and the width of the sepals and petals, in centimeters. You can find out more about this dataset here and here.