MNIST Digit Classification using Logistic Regression and PCA – This project classifies digits (0, 1, 2) from MNIST using PCA for dimensionality reduction, GridSearchCV for hyperparameter tuning, and evaluates performance with a confusion matrix, ROC curves, and a classification report heatmap. The dataset is limited to 0, 1, 2 for faster execution.
active 2025-02-01 → 2025-02-01 (UTC)
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