angelbech/iris-classifier
Machine learning classification project using Random Forest, Logistic Regression, and Decision Trees on the Iris dataset. Includes model comparison, learning curves, feature importance analysis, and comprehensive evaluation metrics. Built with scikit-learn.
Stars
—
Forks
—
Language
Python
License
—
Category
Last pushed
Mar 15, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/angelbech/iris-classifier"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
venky14/Machine-Learning-with-Iris-Dataset
Data Visualization and Machine Learning with Iris Dataset.
amberkakkar01/IRIS-Flower-classification
This project is for the Identification of Iris flower species is presented
josetorronteras/mlp-keras-iris-dataset
Multilayer Perceptron (MLP) for multi-class classification for iris dataset.
kittupriyatham/Machine-Learning-Model-Deployment
This is a machine learning model deployment project of Iris classification model in a minimal UI...
Apaulgithub/oibsip_taskno1
This project showcases iris flower classification using machine learning. It's a...