The 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.
By:
Raveena Ratan Imprint: Blurb Inc Country of Publication: United States Dimensions:
Height: 203mm,
Width: 127mm,
Spine: 5mm
Weight: 109g ISBN:9798210693341 Pages: 72 Publication Date:26 June 2024 Audience:
General/trade
,
ELT Advanced
Format:Paperback Publisher's Status: Active