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OverviewPart 1: Data Science Libraries and Techniques Pandas: Manages data with DataFrames and Series; supports loading, cleaning, manipulating, and exporting data. NumPy: Performs numerical operations and linear algebra with arrays. Scikit-learn: Facilitates machine learning with model building, preprocessing, and evaluation. Seaborn & Matplotlib: Visualize data; Seaborn for statistical plots, Matplotlib for basic and custom charts. Plotly & D3.js: Create interactive and advanced web-based visualizations. Full Product DetailsAuthor: Ravindra Kumar NayakPublisher: Independently Published Imprint: Independently Published Dimensions: Width: 21.60cm , Height: 0.40cm , Length: 27.90cm Weight: 0.200kg ISBN: 9798334583139Pages: 76 Publication Date: 30 July 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 |
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