GitHub - sharmaroshan/MNIST-Using-K-means: It is One of the Easiest Problems in Data Science to Detect the MNIST Numbers, Using a Classification Algorithm, Here I have used a csv File which contains the

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It is One of the Easiest Problems in Data Science to Detect the MNIST Numbers, Using a Classification Algorithm, Here I have used a csv File which contains the Pixels of the Numbers from 0 to 9 and we have to Classify the Numbers Accordingly. I have Used K-Means Classification Algorithm. - sharmaroshan/MNIST-Using-K-means

GitHub - ajinsh/MNIST-Digit-classification: This project involves recognising handwritten digits from MNIST Dataset from UCI ML repository by implementing perceptron learning algorithm on 10 perceptrons(single layer Neural Network) and multilayer

Has anyone done K-means on the MNIST data set? - Quora

Amita Kapoor, Sharmistha Chatterjee - Platform and Model Design For Responsible AI - Design and Build Resilient, Private, Fair, and Transparent Machine Learning Models-Packt Publishing

GitHub - sharmapuneet599/MNIST-dataset-digit-classification

GitHub - Manaswip/MNIST-classification-without-libraries-using -neural-networks

Building Neural Network From Scratch For Digit Recognizer Using MNIST Dataset, by Niranjan Shah

Problem 4. Nearest Neighbor Classification (25 points

MNIST-Classification-Problems/MNIST_digits_classification.ipynb at master · teomotun/MNIST-Classification-Problems · GitHub

GitHub - toxtli/mnist-kmeans-from-scratch: MNIST digits kmeans clustering from scratch

GitHub - skawy/Mnist-Using-Centroid-and-Knn: Mnist is dataset for handwritten images so we extract the feature using centroid method and the classifier is Knn

GitHub - Ronny-22-Code/Handwritten-Digit-Classification-using-KNN: This repository introduces to my project Handwritten-Digit-Classification using MNIST Data-set . This project was implemented and executed by applying KNN algorithm with recognition