This project demonstrates Support Vector Machines (SVM) for binary classification using the Breast Cancer Wisconsin Diagnostic Dataset. The workflow includes preprocessing, training Linear & RBF SVM, ...
Data Preprocessing - Handles missing values using median and mean imputation, encodes categorical variables with one-hot encoding and label encoding, splits data into training and test sets, and ...
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