SML-Assignments
PublicFrom-scratch implementations of PCA, FDA, LDA, QDA for MNIST classification, decision trees, ensemble methods (bagging, random forest), 5-fold cross-validation, AdaBoost, Gradient Boosting, and neural networks for binary classification—using only NumPy, Pandas, and Matplotlib.
back-propagationboosting-algorithmsdecision-tree-classifierdecision-treesensemble-classifierfdamatlplotlibmnist-image-datasetneural-networknumpy
Creat：2025-06-25T20:23:31
Update：2025-06-25T22:33:24
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