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Data Preprocessing: 4- Feature Scaling

Explore feature scaling methods to prepare data for machine learning algorithms in binary classification. Learn to normalize data using min-max scaling to ensure numerical features have uniform scales, improving model accuracy and fairness.

Feature scaling

Machine learning algorithms usually work with numbers with identical scales. If numbers have different scales, the algorithm may consider those with higher scales to be more important.

Even though all our data is numerical, it is not yet uniformly scaled. For example, ...