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.
knn k-nearest-neighbours iris-flowers iris-dataset knn-classification iris-flower-classification k-nearest-neighbor knn-model k-nearest-neighbors iris-classification knn-classifier iris-flower iris-flower-data knn-algorithm iris-flower-dataset iris-flower-category k-nearest-neighbor-classifier k-nearest-neighbors-algorithm
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Updated
May 7, 2023 - Jupyter Notebook