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@netj
Created February 6, 2014 00:28
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sepal.length sepal.width petal.length petal.width variety
5.1 3.5 1.4 .2 Setosa
4.9 3 1.4 .2 Setosa
4.7 3.2 1.3 .2 Setosa
4.6 3.1 1.5 .2 Setosa
5 3.6 1.4 .2 Setosa
5.4 3.9 1.7 .4 Setosa
4.6 3.4 1.4 .3 Setosa
5 3.4 1.5 .2 Setosa
4.4 2.9 1.4 .2 Setosa
4.9 3.1 1.5 .1 Setosa
5.4 3.7 1.5 .2 Setosa
4.8 3.4 1.6 .2 Setosa
4.8 3 1.4 .1 Setosa
4.3 3 1.1 .1 Setosa
5.8 4 1.2 .2 Setosa
5.7 4.4 1.5 .4 Setosa
5.4 3.9 1.3 .4 Setosa
5.1 3.5 1.4 .3 Setosa
5.7 3.8 1.7 .3 Setosa
5.1 3.8 1.5 .3 Setosa
5.4 3.4 1.7 .2 Setosa
5.1 3.7 1.5 .4 Setosa
4.6 3.6 1 .2 Setosa
5.1 3.3 1.7 .5 Setosa
4.8 3.4 1.9 .2 Setosa
5 3 1.6 .2 Setosa
5 3.4 1.6 .4 Setosa
5.2 3.5 1.5 .2 Setosa
5.2 3.4 1.4 .2 Setosa
4.7 3.2 1.6 .2 Setosa
4.8 3.1 1.6 .2 Setosa
5.4 3.4 1.5 .4 Setosa
5.2 4.1 1.5 .1 Setosa
5.5 4.2 1.4 .2 Setosa
4.9 3.1 1.5 .2 Setosa
5 3.2 1.2 .2 Setosa
5.5 3.5 1.3 .2 Setosa
4.9 3.6 1.4 .1 Setosa
4.4 3 1.3 .2 Setosa
5.1 3.4 1.5 .2 Setosa
5 3.5 1.3 .3 Setosa
4.5 2.3 1.3 .3 Setosa
4.4 3.2 1.3 .2 Setosa
5 3.5 1.6 .6 Setosa
5.1 3.8 1.9 .4 Setosa
4.8 3 1.4 .3 Setosa
5.1 3.8 1.6 .2 Setosa
4.6 3.2 1.4 .2 Setosa
5.3 3.7 1.5 .2 Setosa
5 3.3 1.4 .2 Setosa
7 3.2 4.7 1.4 Versicolor
6.4 3.2 4.5 1.5 Versicolor
6.9 3.1 4.9 1.5 Versicolor
5.5 2.3 4 1.3 Versicolor
6.5 2.8 4.6 1.5 Versicolor
5.7 2.8 4.5 1.3 Versicolor
6.3 3.3 4.7 1.6 Versicolor
4.9 2.4 3.3 1 Versicolor
6.6 2.9 4.6 1.3 Versicolor
5.2 2.7 3.9 1.4 Versicolor
5 2 3.5 1 Versicolor
5.9 3 4.2 1.5 Versicolor
6 2.2 4 1 Versicolor
6.1 2.9 4.7 1.4 Versicolor
5.6 2.9 3.6 1.3 Versicolor
6.7 3.1 4.4 1.4 Versicolor
5.6 3 4.5 1.5 Versicolor
5.8 2.7 4.1 1 Versicolor
6.2 2.2 4.5 1.5 Versicolor
5.6 2.5 3.9 1.1 Versicolor
5.9 3.2 4.8 1.8 Versicolor
6.1 2.8 4 1.3 Versicolor
6.3 2.5 4.9 1.5 Versicolor
6.1 2.8 4.7 1.2 Versicolor
6.4 2.9 4.3 1.3 Versicolor
6.6 3 4.4 1.4 Versicolor
6.8 2.8 4.8 1.4 Versicolor
6.7 3 5 1.7 Versicolor
6 2.9 4.5 1.5 Versicolor
5.7 2.6 3.5 1 Versicolor
5.5 2.4 3.8 1.1 Versicolor
5.5 2.4 3.7 1 Versicolor
5.8 2.7 3.9 1.2 Versicolor
6 2.7 5.1 1.6 Versicolor
5.4 3 4.5 1.5 Versicolor
6 3.4 4.5 1.6 Versicolor
6.7 3.1 4.7 1.5 Versicolor
6.3 2.3 4.4 1.3 Versicolor
5.6 3 4.1 1.3 Versicolor
5.5 2.5 4 1.3 Versicolor
5.5 2.6 4.4 1.2 Versicolor
6.1 3 4.6 1.4 Versicolor
5.8 2.6 4 1.2 Versicolor
5 2.3 3.3 1 Versicolor
5.6 2.7 4.2 1.3 Versicolor
5.7 3 4.2 1.2 Versicolor
5.7 2.9 4.2 1.3 Versicolor
6.2 2.9 4.3 1.3 Versicolor
5.1 2.5 3 1.1 Versicolor
5.7 2.8 4.1 1.3 Versicolor
6.3 3.3 6 2.5 Virginica
5.8 2.7 5.1 1.9 Virginica
7.1 3 5.9 2.1 Virginica
6.3 2.9 5.6 1.8 Virginica
6.5 3 5.8 2.2 Virginica
7.6 3 6.6 2.1 Virginica
4.9 2.5 4.5 1.7 Virginica
7.3 2.9 6.3 1.8 Virginica
6.7 2.5 5.8 1.8 Virginica
7.2 3.6 6.1 2.5 Virginica
6.5 3.2 5.1 2 Virginica
6.4 2.7 5.3 1.9 Virginica
6.8 3 5.5 2.1 Virginica
5.7 2.5 5 2 Virginica
5.8 2.8 5.1 2.4 Virginica
6.4 3.2 5.3 2.3 Virginica
6.5 3 5.5 1.8 Virginica
7.7 3.8 6.7 2.2 Virginica
7.7 2.6 6.9 2.3 Virginica
6 2.2 5 1.5 Virginica
6.9 3.2 5.7 2.3 Virginica
5.6 2.8 4.9 2 Virginica
7.7 2.8 6.7 2 Virginica
6.3 2.7 4.9 1.8 Virginica
6.7 3.3 5.7 2.1 Virginica
7.2 3.2 6 1.8 Virginica
6.2 2.8 4.8 1.8 Virginica
6.1 3 4.9 1.8 Virginica
6.4 2.8 5.6 2.1 Virginica
7.2 3 5.8 1.6 Virginica
7.4 2.8 6.1 1.9 Virginica
7.9 3.8 6.4 2 Virginica
6.4 2.8 5.6 2.2 Virginica
6.3 2.8 5.1 1.5 Virginica
6.1 2.6 5.6 1.4 Virginica
7.7 3 6.1 2.3 Virginica
6.3 3.4 5.6 2.4 Virginica
6.4 3.1 5.5 1.8 Virginica
6 3 4.8 1.8 Virginica
6.9 3.1 5.4 2.1 Virginica
6.7 3.1 5.6 2.4 Virginica
6.9 3.1 5.1 2.3 Virginica
5.8 2.7 5.1 1.9 Virginica
6.8 3.2 5.9 2.3 Virginica
6.7 3.3 5.7 2.5 Virginica
6.7 3 5.2 2.3 Virginica
6.3 2.5 5 1.9 Virginica
6.5 3 5.2 2 Virginica
6.2 3.4 5.4 2.3 Virginica
5.9 3 5.1 1.8 Virginica
@Ayasha01
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thanks for the data set!

@shahan27
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thanks man

@satya0017
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Hi , the variety column in iris dataset has dtype as object. When we are applying kMeans it is reflecting an error . Without dropping the column or changing the dtype is there anyway to build the model .

@Joseorina
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Thanks for the json dataset

@JoeyIngles
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Thanks, dude.
Not all heroes wear capes.

@dollyrashmi
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Write a python script implementing KNN(K Nearest Neighbour) algorithm along with example without using any of the python libraries(Scikit-learn etc.) upper data set

@sochan-musclelover
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Thanks,so much. Sir

@LiozElmalem
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Great ! thanks

@joseaquinocepeda
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Thank you.

@fateevaalbina
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Thanks

@MijeongJeon
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Thanks!

@sivachaitu
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thanks man

@cyndinaitili
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Thank You so much sir

@winstonmhango23
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This has been very helpful thanks

@StephenChege
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Thank you for the data set

@hasanKalkan
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thanks a lot

@geemoro
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geemoro commented May 10, 2021

Thank you

@Shiohne
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Shiohne commented Jun 1, 2021

:)

@peterbrendel
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Github Copilot brought me here by autocompleting dataset = with

dataset = AnnDataset(
        'data/iris.csv',
        ['sepal length', 'sepal width', 'petal length', 'petal width']
        )

@ankitaman900
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thanks man.

@ntakano8
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Thanks!

@noReasonException
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Thanks!

@Eisawi999
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Very helpful thanks

@NaveedIlham
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thank you

@sevdebayrak94
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Thank you for sharing. It will be nice practise to work on this dataset.

@rl02898
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rl02898 commented Jun 6, 2022

MVP

@SCMJandeau
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Thank you.

@SCMJandeau
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Thank you.

@RAFevloppIK
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Thank you

Algiers University I.S.I.I student passed from here

@SyedShamaan
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Thanks

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