Iris Species Classification Using K-Nearest Neighbors Algorithm
Dataset Overview
The Iris dataset, collected by Fisher in 1936, is a widely used classification dataset containing 150 samples from three iris species: Setosa, Versicolor, and Virginica. Each species has 50 samples with four features: sepal length, sepal width, petal length, and petal width.
In machine learning practice, data collection is typi ...
Posted on Mon, 01 Jun 2026 17:37:31 +0000 by 22Pixels
Wine Classification Using K-Nearest Neighbors in MindSpore
Overview
This guide demonstrates implementing a K-Nearest Neighbors classifier using MindSpore for the Wine dataset. We'll explore how to process chemical composition data to predict wine cultivars through distance-based classification.
Prerequisites
Before proceeding, ensure you have:
Python programming proficiency
Basic understanding of KNN ...
Posted on Fri, 15 May 2026 10:08:46 +0000 by Mikell