Machine learning project demonstrating supervised and unsupervised learning using Random Forest, K-Nearest Neighbors (KNN), and K-Means clustering. Includes classification and clustering examples with ...

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

In the real world, data distributions often exhibit multiple granularities. However, the majority of existing neighbor-based machine-learning methods rely on manually setting a single-granularity for ...

Dr. James McCaffrey of Microsoft Research says a neural network model is arguably the most powerful multi-class classification technique.