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This project uses the K-Nearest Neighbors (KNN) algorithm to classify Iris flowers based on their sepal and petal measurements. The dataset used in this project is the Iris Dataset, which includes 150 samples of Iris flowers, each with four features: sepal length, sepal width, petal length, and petal width.
This is my project using Extreme Learning Machine (ELM) based on Guang-Bin Huang Paper
Made to classify the different species of the Iris flower🌼