Data Science, Machine Learning, Artificial Intelligence, Technology, Data Mining.
a cereal, with features scaled to a uniform range. This preparatory step is critical to ensure that our subsequent analysis is not skewed by the inherent differences in the scales of nutritional values and categorical encodings. With the data scaled, we can confidently proceed to the next step: