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MTN Proposal for explantation of what are iterations (#859)
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python_scripts/02_numerical_pipeline_scaling.py

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#
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# * Many models such as logistic regression use a numerical solver (based on
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# gradient descent) to find their optimal parameters. This solver converges
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# faster when the features are scaled.
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# faster when the features are scaled, as it requires less steps (called
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# **iterations**) to reach the optimal solution.
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# ```
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#
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# Whether or not a machine learning model requires scaling the features depends

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