This program demonstrates use of KNeighborsClassifier(KNN) algorithm to classify species of Iris flowers. It make use of KNN Library to make classify on Iris Flower species based on various attributes influncing it. It make use of Iris Flower dataset from kaggle.
Clone this github repository and open the file in any IDE of your choice. Ensuring you are in the correct file in the terminal or directory. Make sure to change the path of your dataset while loading the dataset in the file.
- Numpy
- Pandas
- Matplotlib
- Seaborn
- Sklearn(train_test_split, KNeighborsCLassifier, classification_report, accuracy_score, confusion_matrix)
This application is free to use.
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If you have any questions, visit my GitHub profile or email me: usndangol97@gmail.com