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Data classification is an important task of data mining, and developing high-powered classification algorithm is one of the key procedures for data mining. This paper provides an improved K-nearest ...
GRNN Model With Feedback Mechanism Incorporating -Nearest Neighbor and Modified Gray Wolf Optimization Algorithm in Intelligent Transportation Abstract: With the rapid expansion of information ...
It was 5 a.m. when he went to ring the doorbell of one of his neighbors… and it made for a really funny moment. Aleksander Barkov really went walking around his neighborhood at 5am, knocking on his ...
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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.
Custom implementation of K-Nearest Neighbors algorithm from scratch in Python with performance comparison to scikit-learn.
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