Feature engineering involves systematically transforming raw data into meaningful and informative features (predictors). It is an indispensable process in machine learning and data science. This ...
Feature scaling is a crucial preprocessing step in machine learning, ensuring that different features contribute equally to the model's performance. By transforming data to a similar scale, we prevent ...
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