Workflow with sklearn is as shown below...
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Getting data ready.
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Creating Train and Test data.
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Choosing the correct model to the data.
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Fitting the model to our data and making predictions.
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Evaluating our model performance.
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Tuning hyperparameters for a better model.
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Saving and loading the model for the future use.
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Putting all together in one block using pipeline module.