👉 Nobatch is a type of data processing algorithm that involves dividing a large dataset into smaller, more manageable chunks or "nobs" (batch sizes). Each batch contains a fixed number of samples from the original dataset. This approach can be particularly useful for handling large datasets where each sample may have many attributes, but each attribute in isolation would require a much larger set of data to represent accurately. In machine learning and data science, batching allows for efficient processing of large datasets by breaking them down into
