Introduction Data cleaning in machine learning pipeline is a crucial preprocessing step that involves identifying and removing missing, duplicate, or irrelevant data.Raw data (such as log files, transactions, or audio/video recordings) is often noisy, incomplete, and inconsistent, which can reduce the accuracy of machine learning models. The goal of data cleaning is to ensure datasets […]