This project uses Machine Learning to classify Iris flowers into three different species based on their physical measurements. The classification is performed using the K-Nearest Neighbors (KNN) ...
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Model Highlights: • Implemented KNN for classification tasks • Worked with feature scaling and distance metrics • Built a simple yet effective non-parametric model • Performed training, prediction, ...
About This project implements an AI-based data classification system using the K-Nearest Neighbors (KNN) algorithm. The model uses the Iris dataset to classify flower species based on input features.