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KNN algorithm source code
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Knn is a relatively simple algorithms for supervised learning, core idea is that if a sample of the kNN algorithm in feature space k the most most of adjacent samples belonging to a category, then the sample is also included in this category, and have the sample feature on this category. The functionality of the source code implements the simplest knn and annotated, suits the beginner to refer to the study.
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The Perceptron algorithm for Python source code
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The perceptron is a binary classification of linear model in 1957, introduced by Rosenblatt, is the basis of neural networks and support vector machines. The source code uses the original form of the Perceptron learning algorithm, not a dual form, more intuitively understand the Perceptron model. Source code included in the training data.
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