ML- KNeighborsClassifier

from sklearn.datasets import load_iris
from sklearn.neighbors import KNeighborsClassifier

#Load the data
iris = load_iris()

type(iris)
print(iris)
print( iris.feature_names)
print(iris.target)
print(iris.target_names)
print(type(iris.data))
print(type(iris.target))
print(iris.data.shape)
print(iris.target.shape)

#  Choose the features, lables from given data
#  choose the algorithm 
#  fit/train the data
#  predict the new data
X = iris.data
y = iris.target
knn = KNeighborsClassifier(n_neighbors=5)
knn.fit(X,y)
knn.predict([5.2,  3.6,  1.5,  0.3])