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handwritten-digits

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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.

  • Updated Jan 4, 2025
  • Jupyter Notebook

This project offers a simple and intuitive interface for users to input text and generate images that showcase the text in a handwritten style. The generator supports several stylistic modifications including bold, underline, and color alterations, allowing users to create personalized and visually appealing images from their text.

  • Updated May 30, 2023
  • Python

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