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AI Features

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 ...