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OverviewThe role of data scientists and analysts in data-driven decision-making cannot be overstated. Flexibility is a must when it comes to handling large datasets. This abstract introduces a Python library that optimizes critical stages of the data science workflow. It simplifies data loading and preprocessing, facilitates exploratory data analysis (EDA), and streamlines feature engineering, machine learning modeling, and output visualization. Full Product DetailsAuthor: Raveena RatanPublisher: Blurb Inc Imprint: Blurb Inc Dimensions: Width: 12.70cm , Height: 0.50cm , Length: 20.30cm Weight: 0.109kg ISBN: 9798210693341Pages: 72 Publication Date: 23 August 2024 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |