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Quick pocket size Revision Guide for Data Science field-Part1
Paperback
Publisher: Independently Published
Published: Jul 30 2024
Pages: 76
Weight: 0.44
Height: 0.16 Width: 8.50 Depth: 11.00
Language: English
Part 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.
Plotly & D3.js: Create interactive and advanced web-based visualizations.
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