Noisy labels are a common challenge in real-world data. Data-centric active learning pipelines improve model performance by iteratively selecting and refining uncertain or high-impact samples. ExcelR’s Data Science Course in Nagpur teaches learners to handle messy datasets effectively and efficiently. https://buymeacoffee.com/excelrposts/data-centric-active-learning-pipelines-noisy-labels