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Expediting Convergence via Polling Optimisation for Gradient Descent in Neural Networks
A Python library of 'old school' machine learning methods such as linear regression, logistic regression, naive Bayes, k-nearest neighbors, decision trees, and support vector machines.
Regression and Classification Using Decision Tree, Random Tree, Bootstrap Aggregating, and Boosting.