Quick pocket size Revision Guide for Data Science field-Part1

Contributor(s): Nayak, Ravindra Kumar (Author)

ISBN: 9798334583139

Publisher: Independently Published

Binding Types:

Paperback

$9.00

Digicover (1-4 copies)

$21.95 (Final Price)

Readerbound (5-99 copies)

$20.75 (100+ copies: $20.00)

List/retail price:

$9.00

Pub Date: July 30, 2024

Lexile Code: 0000

Target Age Group: NA to NA

Physical Info: 0.16" H x 11.00" L x 8.50" W ( 0.44 lbs) 76 pages

BISAC Categories:

Computers | Machine Theory

Descriptions, Reviews, etc.

Description:

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.
Seaborn & Matplotlib: Visualize data; Seaborn for statistical plots, Matplotlib for basic and custom charts.
Plotly & D3.js: Create interactive and advanced web-based visualizations.

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