HF RL Explorer

Task: Implement K-Nearest Neighbors (k-NN) Classification in Python

Task: Implement K-Nearest Neighbors (k-NN) Classification in Python: a task in Terminal-Lego-15k (Harbor dataset). Implement a k-Nearest Neighbors (k-NN) classifier from scratch in Python without using any machine-learning libraries (such as scikit-learn, PyML, mlPy, or Orange). The implementation…

The task

Implement a k-Nearest Neighbors (k-NN) classifier from scratch in Python without using any machine-learning libraries (such as scikit-learn, PyML, mlPy, or Orange). The implementation should be able to classify data points based on their nearest neighbors in a training dataset.

Part of PrimeIntellect/Terminal-Lego-15k.