iris-flower-classification-in-python

This notebook includes coding and notes for predicting iris flower species using random forest classification machine learning in python.

Highlights

• Successfully trained, tested and deployed iris flower species machine learning model in python using the random forest classifier algorithm.

• Achieved accuracy score of 0.9737 and f1 score of 0.9717 indicating the model worked well.

• Fine tuned model using various tree lengths.

• Visualized results with confusion matrix heatmap and standard plots.

• Deployed the model on fictional flower data.