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…m scratch - Added Random Forest Classifier with bootstrap aggregation of decision trees. - Implemented Ridge Regression using closed-form regularized normal equations. - Developed Linear Support Vector Machine Classifier trained with stochastic sub-gradient descent. - Introduced K-Means Clustering algorithm with Lloyd's iteration and K-Means++ initialization. - Created tests for Decision Tree, KNN, Lasso Regression, Linear Regression, Logistic Regression, Naive Bayes, Random Forest, Ridge Regression, SVM, and K-Means. - Added shared fixtures for reproducible test datasets.
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…m scratch