Take a real time example to implement KNN- classification algorithm in Python.

To implement the K-Nearest Neighbors (KNN) classification algorithm in Python, we'll use a real-time example: classifying handwritten digits using the MNIST dataset. This dataset is a classic benchmark dataset in machine learning, containing images of handwritten digits from 0 to 9.

Steps for Implementation:

1. Load the Dataset: Use the MNIST dataset, which is available in sklearn's datasets module.
2. Preprocess the Data: Normalize the data and split it into training and testing sets.
3. Train the KNN Model: Use the KNeighborsClassifier from sklearn.
4. Evaluate the Model: Assess the performance using accuracy and confusion matrix.
5. Visualize Results: Optionally, visualize some predictions.

Python Code:

import numpy as np
import matplotlib.pyplot as plt
from sklearn import datasets
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.neighbors import KNeighborsClassifier
from sklearn.metrics import accuracy_score, confusion_matrix, classification_report

# Load ________ _________ _______ _______ ______ _________ _____ ____ ______ __________ _________.
__________ _________ __________ _______ _____ _______ __________.
_________ ______ _______ _________ __________ _____ ______ ________ ________ _________.
___ ________ __________ ________ ________ __________ _________ ____ __________.
__________ ____ _________ _________ ______ ___.
________ _______ _______ _______ _________ ________ ___ __________ _____ ________ ___.
____ _____ _________ ________ _________ ____ _____ ____ __________ _________ ___ _____.
____ _______ _______ __________ ___ __________.
_____ __________ ___ ________ ___ __________ _______ _____ _________ ___ ___.
__________ _________ ________ __________ ____ ___ _______ _________ ___ ___ _________.
____ ____ ___ _____ _______ _________ ___ ___ __________ _____ _______ _________.
__________ __________ _______ _______ _______ _________ ______ ___ ____ ____ _______.
______ _______ _____ ___ ____ ____ ______ _____ ________ _____.
_________ ________ ___ ________ __________ ___ ______ _________.
_______ __________ _________ ______ _____ ______ ________ _______ _______ ____.
________ _____ ______ ____ _________ ___ _______ ___ ______ _______.
______ ____ _____ ________ __________ __________.
_____ ___ ____ ___ _____ ______ ___ ________ ____ _______.
________ _________ _______ ___ ______ __________ ________ ___ ________.
_____ _________ _____ _______ _____ ________.
________ _______ __________ ___ ____ ____ _____ _________ _____ _________.
________ _______ _______ _________ __________ _______ ____ _________ ____ ___ _____ ________.
_________ ___ _________ ____ _________ _____.
_____ _________ ___ ________ _____ _________ ________.
_________ ________ ________ _____ _________ __________ _______ __________ ___ _____ ______.
________ ___ ___ ___ ______ ____ ________.
______ ______ ____ ________ ______ _________ ___ ___.
_____ ________ _________ _______ _____ _______ ___ ____ _________ _________ _____ ________.
___ ______ _____ ________ ________ __________ ____ ______ _____ ____ ___.
____ ______ __________ __________ _____ __________.
________ _______ _____ _______ ___ _______ ________ __________ ______ _____ ___.
____ ______ _______ ________ __________ ________ _________ _________ ____.
_______ ___ ______ ______ ______.
_________ ______ _____ ______ ________ _________ __________ _______ ______ _________ _______.
________ ____ ______ _______ __________ __________ _____ _____ _____ ___ ____.
_______ __________ ____ __________ ____ ___ ____ ____ _________.
______ _________ _________ _________ ________.
___ _____ ____ ___ ________.
__________ ______ ___ ________ ____ _______.
________ _____ _______ _________ __________ _______ _________ _______ _________.
_______ ______ _______ _________ _________ __________ __________.
______ ___ ___ _____ ____ ____ ______ ________ ________ ___ __________ ________.
_____ __________ _____ ___ __________ _____ ______ ___ _________.
____ ______ _______ __________ _____ ____ ___ ____ ________.
______ _______ ____ __________ ______ _____ ___ ____ _________ _____ ___ ______.
_______ ____ ______ ________ __________ ____ _________ ______ ________.
__________ ________ ___ ___ ________ _______ _________ _________.
Get Full Answer on WhatsApp