Using Pickle to serialize your trained machine learning models allows for easy saving and retrieval, eliminating the need for retraining in future projects.
The Pickle library in Python enables the serialization of models, which can then be saved to a file. You can easily reconstruct the model later.
Model serialization with Pickle is straightforward; simply open a file in binary mode, and use the pickle.dump function to store the model efficiently.
By saving your models with Pickle, you're ensuring that your machine learning work is not lost, and you can reuse it without additional training.
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