KNN-algorithm-

#The K-Nearest Neighbors (KNN) algorithm is a supervised machine learning method employed to tackle classification and regression problems. import numpy as np import pandas as pd df=pd.read_csv(r'D:\bangalore house price prediction OHE-data.csv') df #data split x=df.drop('price',axis=1) y=df['price'] print("shape of x",x.shape) print("shape of y",y.shape) from sklearn.model_selection import train_test_split x_train, x_test, y_train, y_test=train_test_split(x,y, test_size=0.2) print("Shape of x_train",x_train.shape) print("Shape of y_train", y_train.shape) print("Shape of y_train", y_test.shape) #import knn from sklearn.neighbors import KNeighborsRegressor reg=KNeighborsRegressor(n_neighbors=5) reg.fit(x_train, y_train) reg.score(x_test, y_test)