Machine Learning Deployment Guidance

Hi Team,

I would like to implement a predictive model for attrition prediction. The idea is to run the model for 20k employees and store the output in a database and further it is utilized by power bi.

Although I have an understanding of how to collect the data, preprocess and build the model with training data. Can you please guide me on how to run the model for 20 k employees can I use any machine or is it advisable to use cloud, what is the general practice to implement this properly.

What’s stopping you from making predictions for 20k records using smaller batches, say around 1K at a time?

The “best practice” depends on your specific needs, and also the size of the dataset (number of examples, and the number of features per example).