IRIS-Flower-classification and iris-flower-classification
These are competitors—both are standalone machine learning projects that independently solve the same iris classification problem using similar algorithms (Logistic Regression and KNN), so a user would typically choose one or the other based on code quality, documentation, or star rating rather than use them together.
About IRIS-Flower-classification
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.
About iris-flower-classification
komalharshita/iris-flower-classification
A machine learning project that classifies iris flower species using Logistic Regression and KNN, with detailed data analysis and feature interpretation.
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