When building machine learning models, np.where is crucial for preparing clean datasets. It helps apply rules for missing values, thresholding, or categorizing features quickly. By enabling logical array operations in a single function, np.where accelerates preprocessing steps that feed accurate models. https://docs.vultr.com/python/third-party/numpy/where