Diabetes Prediction - Deployement

The deployment phase in machine learning is the stage where a trained model is put into production and used to make predictions on new data. This phase involves taking the model that was developed during the training phase and integrating it into a larger system or application.
Notice the three basic data prep steps: missing value imputation, type conversion, and outlier.