ML Model Serialization #python

Embark on a journey into data serialization techniques tailored specifically for machine learning models in Python. Data serialization, the process of converting program data into storable formats, is indispensable for ML model deployment. By saving trained ML models, developers can reuse them without the need for retraining, a critical aspect for deploying models in production environments. In this exploration, we'll delve into various data serialization techniques, focusing on Python's built-in modules like pickle. While pickle serves as a go-to choice for many serialization tasks, we'll also uncover its limitations and discuss advanced strategies to enhance data serialization efficiency.

#machinelearning #datascience