This project is a simple machine learning API built using Flask. It uses a trained model on the Iris dataset to predict flower species based on input features like sepal length, sepal width, petal length, and petal width.
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This project is a simple machine learning API built using Flask. It uses a trained model on the Iris dataset to predict flower species based on input features like sepal length, sepal width, petal length, and petal width.
DataWithMowa/Iris-Dataset-Flask-API_Project
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This project is a simple machine learning API built using Flask. It uses a trained model on the Iris dataset to predict flower species based on input features like sepal length, sepal width, petal length, and petal width.
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