Added a neural network model for iris flower classification with 96% …

…accuracy and removed the function for single model selection for prediction. Includes a neural network model trained to classify iris flowers based on their sepal and petal dimensions. The model achieves an impressive accuracy of 96%, making it highly reliable for predicting the species of iris flowers.
recodehive · Jun 1, 2024 · 91559a8 · 91559a8
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diff --git a/iris_classification/nn_iris_classification .ipynb b/iris_classification/nn_iris_classification .ipynb
diff --git a/iris_classification/readme.md b/iris_classification/readme.md
@@ -37,6 +37,7 @@ Six machine learning models are trained and evaluated for iris flower species pr
 4. K-Nearest Neighbors (KNN)
 5. Decision Tree
 6. Naive Bayes
+7. Neural Network
 
 For each model, the following steps are performed: