PERPUSTAKAAN POLITEKNIK TEDC BANDUNG

  • Home
  • Information
  • News
  • Login Pustakawan
  • Librarian
  • Member Area
  • Select Language :
    Arabic Bengali Brazilian Portuguese English Espanol German Indonesian Japanese Malay Persian Russian Thai Turkish Urdu

Search by:

All Author Subject ISBN/ISSN Advanced Search

Last search:

{{tmpObj[k].text}}
Image of Python for Data Science: A Crash Course for Data Science and Analysis, Python Machine Learning and Big Data

Text

Python for Data Science: A Crash Course for Data Science and Analysis, Python Machine Learning and Big Data

COMPUTER Science Academy - Organizational Body;

Contents:

Chapter 1 Foundational data science technologies
Chapter 2 Introduction to python coding
Chapter 3 Data visualization and analysis with python
Chapter 4 Machine learning and predictive analysis

BOOK REVIEW:

This book is essential to help you master the core concepts of Python programming and utilize your coding skills to analyze a large volume of data.

This programming language can be used for a variety of coding projects including machine learning algorithms, web applications, data mining and visualization, game development.

Some of the highlights of this book include:

• The five major stages of the TDSP lifecycle

• Installation instructions for Python

• Python coding concepts such as data types, classes, and objects variables, numbers, constructor functions, Booleans and much more.

• Learn the functioning of various data science libraries like Scikit-Learn, which has evolved as the gold standard for machine learning and data analysis.

• Deep dive into the Matplotlib library, which offers visualization tools and science computing modules supported by SciPy and learn how to create various graphs using Matplotlib and Pandas library.

• Learn how machine learning allows analysis of large volumes of data and delivers faster and more accurate results.

• Overview of four different machine learning algorithms.

• Learn how companies are able to employ a predictive analytics model to gain an understanding of customer interactions with their products or services based on customer’s feelings or emotions shared on the social media platforms.

Every concept in this book is explained with examples and exercises so you can learn and test your learning at the same time.


Availability
210266005.133 COM pMy LibraryAvailable
Detail Information
Series Title
-
Call Number
005.133 COM p
Publisher
Computer Science academy : ., 2019
Collation
177 hlm.; 23 cm
Language
English
ISBN/ISSN
978-1-80125-525-7
Classification
005.133
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
PRODI TEKNIK INFORMATIKA
PYTHON (COMPUTER PROGAM LANGUANGE)
Specific Detail Info
-
Statement of Responsibility
Computer Science Academy
Other version/related

No other version available

File Attachment
Comments

You must be logged in to post a comment

PERPUSTAKAAN POLITEKNIK TEDC BANDUNG
  • Information
  • Services
  • Librarian
  • Member Area

About Us

As a complete Library Management System, SLiMS (Senayan Library Management System) has many features that will help libraries and librarians to do their job easily and quickly. Follow this link to show some features provided by SLiMS.

Search

start it by typing one or more keywords for title, author or subject

Keep SLiMS Alive Want to Contribute?

© 2025 — Senayan Developer Community

Powered by SLiMS
Select the topic you are interested
  • Computer science, information & general works
  • Philosophy & psychology
  • Religion
  • Social sciences
  • Language
  • Pure Science
  • Applied sciences
  • Arts & recreation
  • Literature
  • History & geography
Advanced Search