Quick pocket size Revision Guide for Data Science field-Part1

NAYAK, RAVINDRA KUMAR

ISBN 13: 9798334583139

Published by Independently published, 2024

About this Item

Print on Demand.

Seller Inventory # I-9798334583139

Bibliographic Details

• Title: Quick pocket size Revision Guide for Data Science field-Part1
• Publisher: Independently published
• Publication Date: 2024
• Language: English
• ISBN 13: 9798334583139
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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.