In this post, you will discover how to save your model using python libraries using SK-Learn and Keras.
Saving machine learning (ML) and deep learning (DL) models is an inevitable step in building a ML/DL model to save the state of an object whether for making predictions or reuse it for other purposes when needed. Serialization (saving) is the process of translating a data structure or object into a format that can be transmitted/stored in a database or file while de-serializing (loading) is the reverse process in which stored objects are loaded from a database or a file. In this post, you will discover how to save your model using python libraries using SK-Learn and Keras.
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