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Scaling

Explore the importance of feature scaling in data analysis and learn to apply standard scaling and min/max scaling using Python's sklearn tools. Understand how to normalize data ranges for consistent performance in machine learning models.

Introduction to scaling #

The scale of your features matter for many machine learning algorithms. Having income values that range from 100 to 100,000 and ages that range from 0 to 100 can cause issues because of the large difference in scale of these two data columns. To deal with this, it is standard to rescale the data. There ...