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digits-dataset

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ML-Model-Datasets-Using-Streamlits

A complete exploration of the Handwritten Digits dataset using Principal Component Analysis (PCA), including pixel extraction, image reconstruction, feature scaling, 2D and 3D PCA projection, and cluster visualization for understanding digit separability.

  • Updated Dec 7, 2025
  • Python

Handwritten digit classification on the scikit-learn Digits dataset: PCA for dimensionality reduction plus a k-NN classifier, with a scree plot and a true-vs-predicted gallery. University data analysis project, with the maths written out in the accompanying slides.

  • Updated Aug 10, 2026
  • Jupyter Notebook

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