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knn-classification-algorithm

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ssshetty11 / Hindi_Handwritten_Digit_recognition

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This project implements a Handwritten Digit Recognition system using the K-Nearest Neighbors (KNN) algorithm. The system uses the MNIST dataset, a widely-used dataset containing 70,000 grayscale images of handwritten digits (0-9), each 28x28 pixels in size. The model is trained to classify these digits with high accuracy.

machine-learning supervised-learning handwritten-digit-recognition knn-classification supervised-learning-algorithms knn-classification-algorithm
  • Updated Nov 24, 2024
  • Jupyter Notebook

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