KNN Classifier using Python

  HI

Using KNN classifier in Python we can do classification of data.

# 1 ---------------------------------

https://github.com/susanli2016/Machine-Learning-with-Python/blob/master/diabetes.csv

# 2 ---------------------------------

https://www.kaggle.com/code/mragpavank/pima-indians-diabetes-database/input

# 3---------------------------------

from google.colab import drive

drive.mount('/content/drive')

# 4---------------------------------

cd /content/drive/MyDrive/MLProject

# 5---------------------------------

import pandas as pd

import numpy as np

import matplotlib.pyplot as plt

%matplotlib inline

diabetesdata = pd.read_csv('diabetesdata.csv')

print(diabetesdata.columns)

# 6---------------------------------

diabetesdata.head()

print("dimension of diabetesdata data: {}".format(diabetesdata.shape))

print(diabetesdata.groupby('Outcome').size())

diabetesdata.info()

# 7 ---------------------------------

from sklearn.model_selection import train_test_split

X_train, X_test, y_train, y_test = train_test_split(diabetesdata.loc[:, diabetesdata.columns != 'Outcome'], diabetesdata['Outcome'], stratify=diabetesdata['Outcome'], random_state=66)

# 8---------------------------------

from sklearn.neighbors import KNeighborsClassifier

# 9---------------------------------

knn = KNeighborsClassifier(n_neighbors=9)

knn.fit(X_train, y_train)

#10 Save the trained model---------------------------------

import joblib

joblib.dump(knn, "knn_model.pkl")

# 11 Load the model---------------------------------

import joblib

knn_loaded = joblib.load("knn_model.pkl")

inputdata=[[10,140,80,0,0,27.1,1.440,55]]

print(knn_loaded.predict(inputdata))