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Iris flower data set  Wikipedia
https://en.wikipedia.org/wiki/Iris_flower_data_set
The Iris flower data set or Fisher's Iris data set is a multivariate data set introduced 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. It is sometimes called Anderson's Iris data set because Edgar Anderson collected the data to …
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UCI Machine Learning Repository: Iris Data Set
https://archive.ics.uci.edu/ml/datasets/Iris/
Data Set Information: This is perhaps the best known database to be found in the pattern recognition literature. Fisher's paper is a classic in the field and is referenced frequently to this day. (See Duda & Hart, for example.) The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant.
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The Iris Dataset — scikitlearn 1.1.2 documentation
https://scikitlearn.org/stable/auto_examples/datasets/plot_iris_dataset.html
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.
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Iris Flower Classification Project using Machine Learning
https://dataflair.training/blogs/irisflowerclassification/
Next, we load the data using pd.read_csv() and set the column name as per the iris data information. Pd.read_csv reads CSV files. CSV stands for comma separated value. df.head() only shows the first 5 rows from the data set table. All the numerical values are in centimeters. Step 2 – Analyze and visualize the dataset:
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iris.csv · GitHub  Gist
https://gist.github.com/netj/8836201
iris.csv This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in …
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Classification Basics: Walkthrough with the Iris Data Set
https://towardsdatascience.com/classificationbasicswalkthroughwiththeirisdatasetd46b0331bf82
Jul 27, 2020 · In this data set, the data types are all ready for modeling. In some instances the number values will be coded as objects, so we would have to change the data types before performing statistic modeling. 2. Check for Missing Values. df.isnull().sum() This data set is not missing any values.
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Iris Flower Dataset  Kaggle
https://www.kaggle.com/datasets/arshid/irisflowerdataset
Mar 22, 2018 · The Iris flower data set is a multivariate data set introduced by the British statistician and biologist Ronald Fisher in his 1936 paper The use of multiple measurements in taxonomic problems. It is sometimes called Anderson's Iris data set because Edgar Anderson collected the data to quantify the morphologic variation of Iris flowers of three ...
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Chapter 2 Visualizing the iris flower data set  GitHub Pages
https://gexijin.github.io/learnR/visualizingtheirisflowerdataset.html
1 Step into R programming–the iris flower dataset. 1.1 Getting started; 1.2 The proper way of using RStudio; 1.3 Data frames contain rows and columns: the iris flower dataset; 1.4 Analyzing one set of numbers; 1.5 Analyzing a categorical variable; 1.6 The relationship between two numerical variables; 1.7 Testing the differences between two groups
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Iris (plant)  Wikipedia
https://en.wikipedia.org/wiki/Iris_(plant)
Iris is a genus of 260–300 species of flowering plants with showy flowers.It takes its name from the Greek word for a rainbow, which is also the name for the Greek goddess of the rainbow, Iris.Some authors state that the name refers to the wide variety of flower colors found among the many species. As well as being the scientific name, iris is also widely used as a common …
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Exploratory Data Analysis : Iris Dataset  by Pranshu Sharma
https://medium.com/analyticsvidhya/exploratorydataanalysisirisdataset4df6f045cda
Apr 03, 2021 · The Iris flower data set or Fisher’s Iris data set is one of the most famous multivariate data set used for testing various Machine Learning Algorithms. This is my version of EDA on Iris Dataset.
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