Question: Python Coding Qn ( K - nearest neighbours algorithm ) K - Nearest neighbours algorithm re ciodin Is point: DESCRIPTION Load the features and x

Python Coding Qn(K-nearest neighbours algorithm)
K-Nearest neighbours algorithm
re ciodin
Is point:
DESCRIPTION
Load the features and x2 are independent variables and Class is the response variable:
x1:[7,7,3,1]
x2:[7,4,4,4]
class: [ fall, Pfoll', 'Pass', 'Pass']
Solution code
CODE
1 inport
2 import
3xI =np.
4,x2=np.
5 Class =
6 test_int
7 distance
8 df = pd
9 k_neight
10 majority
11 print(m.
The task is to implement the K- nearest algorithm using
Numpy and Pandas
The new test query is (3,4), Using K=3, determine the class abel of the test instance.
 Python Coding Qn(K-nearest neighbours algorithm) K-Nearest neighbours algorithm re ciodin Is

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