It is a Python GUI in which you can draw a digit and the ML Algorithm will recognize what digit it is. We have used Mnist dataset
Building a Neural Network for MNIST Digit Classification from Scratch
In this part, we developed an interface for Digit Classification using the PyQt5 library in Python.
In this project, I use Keras and TensorFlow to classify digits and python's Tkinter library to visualize
Digit classification task using Naive Bayes, Perceptron, and MIRA.
A numpy implementation of the LeNet-CNN trained on emnist dataset
Implement digit classification using LibSVM libarary.
This project implements probabilistic machine learning methods, including Bayesian classification, Gaussian discriminant models, and dropout in neural networks. It explores softmax regression, log-likelihood optimization, and performance evaluation using accuracy, ROC curves, and confusion matrices.
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