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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 |
Thanks for the json dataset
Thanks, dude.
Not all heroes wear capes.
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
Thanks,so much. Sir
Great ! thanks
Thank you.
Thanks
Thanks!
thanks man
Thank You so much sir
This has been very helpful thanks
Thank you for the data set
thanks a lot
Thank you
:)
Github Copilot brought me here by autocompleting dataset = with
dataset = AnnDataset(
'data/iris.csv',
['sepal length', 'sepal width', 'petal length', 'petal width']
)
thanks man.
Thanks!
Thanks!
Very helpful thanks
thank you
Thank you for sharing. It will be nice practise to work on this dataset.
MVP
Thank you.
Thank you.
Thank you
Algiers University I.S.I.I student passed from here
Thanks
thanks
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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 .