/Flower-Species-Prediction

This project aims to predict to which species of Iris family does a flower belong to among three species:Iris setosa, Iris virginica and Iris versicolor.A ML model is created which uses the Iris flower dataset containing 50 samples of each flower or a total of 150 samples. The model uses a SVM for classification and also runs a Gridsearch for finding the optimal parameters.98% accuracy is achieved.

Primary LanguageJupyter NotebookMIT LicenseMIT

Flower-Species-Prediction

This project aims to predict to which species of Iris family does a flower belong to among three species:Iris setosa, Iris virginica and Iris versicolor.A ML model is created which uses the Iris flower dataset containing 50 samples of each flower or a total of 150 samples.The model uses a SVM for classification and also runs a Gridsearch for finding the optimal parameters.98% accuracy is achieved.More description about the exact workings of the code are provided in the Google colaboratory notebook(Link in the 'link' file.)