A Notebook showing the use of joblib to save trained Machine Learning models

After loading the data and performing exploratory data analysis, model selection, training & testing.

• Check notebook here iris_ml

Import the joblib library and save model

from joblib import dump, load
dump(trained_model, 'filename.joblib')

Load joblib anywhere using python

saved_model = load('filename.joblib')

The saved model can then be used to test new samples of data.