About this document

Task 7 by rattuchandan67 is a document available to read on EtoBox.

The document outlines the implementation of K-Nearest Neighbors (K-NN) and K-Means clustering using Python. It includes steps for importing datasets, splitting data, training models, evaluating accuracy, and visualizing results. The K-NN model achieved an accuracy of 1.0, while K-Means was used to determine optimal clusters based on inertia values.

Author

rattuchandan67

Language

EN