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