Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Python for Data Science, Hardback Book

Python for Data Science Hardback

Hardback

Description

The book is designed to serve as a textbook for courses offered to undergraduate and graduate students enrolled in data science.

This book aims to help the readers understand the basic and advanced concepts for developing simple programs and the fundamentals required for building machine learning models.

The book covers basic concepts like data types, operators, and statements that enable the reader to solve simple problems.

As functions are the core of any programming, a detailed illustration of defining & invoking functions and recursive functions is covered.

Built-in data structures of Python, such as strings, lists, tuples, sets, and dictionary structures, are discussed in detail with examples and exercise problems.

Files are an integrated part of programming when dealing with large data.

File handling operations are illustrated with examples and a case study at the end of the chapter.

Widely used Python packages for data science, such as Pandas, Data Visualization libraries, and regular expressions, are discussed with examples and case studies at the end of the chapters.

The book also contains a chapter on SQLite3, a small relational database management system of Python, to understand how to create and manage databases.

As AI applications are becoming popular for developing intelligent solutions to various problems, the book includes chapters on Machine Learning and Deep Learning.

They cover the basic concepts, example applications, and case studies using popular frameworks such as SKLearn and Keras on public datasets

Information

£79.99

 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information