Abstract: Disclosed are various embodiments for machine learning based code mapping. A computing device can obtain a set of code identifiers. Then, the computing device can provide a first one of the set of code identifiers to a machine learning model and receive a potential classification from the machine learning model in response. Then, the computing device can determine that the confidence score for the potential classification meets or exceeds a predefined threshold value. In response, the computing device can then create a first mapping pair that links the first one of the set of code identifiers as being associated with the bucket.