DAY3. K NEIGHBOURS CLASSIFIERS (PYTHON MACHINE LEARNING)

 from sklearn import datasets

from sklearn.neighbors import KNeighborsClassifier

#LOAD  DATASETS
iris =datasets.load_iris()

#printing description and features
print(iris.DESCR)
features=iris.data
labels= iris.target
print(features[0],labels[0])

#TRAINING CLASSIFIERS
clf=KNeighborsClassifier()
clf.fit(features, labels)  #fit dunction,pedicted funtion

preds=clf.predict([[31,1,1,1]])
print(preds)
preds=clf.predict([[5.1, 3.5, 1.4, 0.2]])
print(preds)

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