Y-ScalingY-Scaling, also known as Target Scaling or Output Normalization, is the process of transforming the target variable ($y$) in a machine learning dataset to fit within a specific range or distribution. Read More
YAMLYAML, which stands for YAML Ain't Markup Language (a recursive acronym), is a human-friendly data serialization language. It is primarily used for configuration files and data exchange in applications where data is being stored or transmitted. Read More
Yield ModellingYield Modelling is the practice of creating mathematical or computational representations to predict the total output of a process relative to its inputs. In simple terms, it answers the question: "Of everything we start with, how much usable product will we actually get at the end?" Read More
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