amberkakkar01/IRIS-Flower-classification
This project is for the Identification of Iris flower species is presented
Implements multiple supervised learning algorithms (Decision Tree, K-Nearest Neighbors, SVM, and Logistic Regression) using scikit-learn to classify iris specimens. The project applies train-test-split methodology and evaluation metrics to benchmark classifier performance on the standard Iris dataset. Designed as an educational resource for machine learning beginners to understand algorithmic approaches and accuracy measurement.
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