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Data Mining Pipeline に戻る

コロラド大学ボルダー校(University of Colorado Boulder) による Data Mining Pipeline の受講者のレビューおよびフィードバック


This course introduces the key steps involved in the data mining pipeline, including data understanding, data preprocessing, data warehousing, data modeling, interpretation and evaluation, and real-world applications. Data Mining Pipeline can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at Course logo image courtesy of Francesco Ungaro, available here on Unsplash:

Data Mining Pipeline: 1 - 1 / 1 レビュー

by Nathan H