In the Part 1 of Introduction to Neural Networks we learned about one of the simplest artificial neuron called McCulloch-Pitts neuron and implemented it in python. The problem with M-P neuron is that there is actually […]
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KNN from Scratch
The K-Nearest Neighbor(KNN) classifier is one of the easiest classification methods to understand and is one of the most basic classification models available. KNN is a non-parametric method which classifies based on the distance to the […]
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