fisherman611/handwritten-digits-recognition
This project focuses on classifying handwritten digits from the MNIST dataset. It explores and compares the performance of various machine learning models including Neural Networks, SVM, and KNN. The project includes data preprocessing, model training and evaluation, and a user-friendly interface for easy interaction and testing.
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Jupyter Notebook
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MIT
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Jul 15, 2025
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