GitHub - being-aerys/Machine_Learning_CS534_Fall-2018: Linear Regression with L2 Regularization, Online, Average, and Polynomial Kernel Perceptron for Optical Character Recognition, Decision Tree Ensemble, Random Forest, AdaBoost

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Linear Regression with L2 Regularization, Online, Average, and Polynomial Kernel Perceptron for Optical Character Recognition, Decision Tree Ensemble, Random Forest, AdaBoost

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Name		Name	Last commit message	Last commit date
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Decision_Tree_Ensemble_Random_Forest_AdaBoost		Decision_Tree_Ensemble_Random_Forest_AdaBoost
Linear_Regression_and_Analysis		Linear_Regression_and_Analysis
Online_Average_And_Polynomial_Kernel_Perceptrons		Online_Average_And_Polynomial_Kernel_Perceptrons
Written Assignments		Written Assignments

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Linear Regression with L2 Regularization, Online, Average, and Polynomial Kernel Perceptron for Optical Character Recognition, Decision Tree Ensemble, Random Forest, AdaBoost

machine-learning random-forest linear-regression ensemble-learning perceptron adaboost decision-tree average-perceptron polynomial-kernel

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