GitHub - rupalshrivastava/Supervised-Machine-Learning: Implemented support vector machines, boosting, and decision trees for classification problems. Used cross-validation for improving model accuracy. Plotted different types of learning curves like error rates vs train data size, error rates vs clock time. Compared performance using learning curves and confusion matrices across algorithms.

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Implemented support vector machines, boosting, and decision trees for classification problems. Used cross-validation for improving model accuracy. Plotted different types of learning curves like error rates vs train data size, error rates vs clock time. Compared performance using learning curves and confusion matrices across algorithms.

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ML Assignment 2 Report.pdf		ML Assignment 2 Report.pdf
ML_assignment_2_Banking.ipynb		ML_assignment_2_Banking.ipynb
bank-full.csv		bank-full.csv