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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.