Hands-on coding of a multiclass neural network from scratch, with softmax and one-hot encoding. #Softmax #MulticlassClassification #PythonAI ...

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This project involves analyzing a cleaned dataset using exploratory data analysis (EDA) and applying the K-Nearest Neighbors (KNN) algorithm for classification. The dataset is preprocessed, split into ...

Binary classification is a special case when there are just two possible values, for example predicting the sex of a person. The k-nearest neighbors (k-NN or kNN) classification technique can perform ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request ...

Arrhythmia beat classification is an active area of research in ECG based clinical decision support systems. In this paper, Pruned Fuzzy K-nearest neighbor (PFKNN) classifier is proposed to classify ...

k nearest neighbor (kNN) method is a popular classification method in data mining and statistics because of its simple implementation and significant classification performance. However, it is ...