Название: Data Analytics using PythonАвтор: Bharti Motwani
Издательство: Wiley
Год: 2020
Страниц: 760
Язык: английский
Формат: epub (true)
Размер: 92.5 MB
Data is the fuel of 21st century. The advanced technological development has brought a massive increase in the volume and spectrum of data by including text, image and video data. Data analytics using Python aims to make readers understand the applications of analytics in different domains with proper code and explanation. The book starts from basics of Python and gradually increases its level to Machine Learning. Significant focus has also been laid on Deep Learning and applications – neural network models like MLP, RNN and CNN; trained models for text and image data and development of chatbots.
The goal of this book is to open the doors of opportunity related to different analytical techniques from a broader array of datasets. It is an attempt to provide a reservoir of updated knowledge on varied tools for academicians, consultants, research scholars, practitioner and students. Data analytics using Python will enable readers gain sufficient knowledge and experience to perform analysis using different tools and techniques available in numerous libraries according to different requirement of the user for different types of data. In order to provide a more meaningful and easier learning experience, this book has been written with more interesting and relevant real-life examples. The examples taken from a variety of sectors are solved with proper explanation of code and comments are used for better clarity. This easy-to-understand approach would enable readers to develop the required skills and apply techniques to solve all types of problems in Python in an effective manner. The reader is suggested to execute the programs and read the explanation given after each code for understanding the concept and process of implementation.
Considering the importance of Python as programming and data processing tool, rich in libraries and advanced data analytical tool, this book is divided into four sections named as:
1. Programming in Python
2. Core Libraries in Python
3. Machine Learning in Python
4. Deep Learning Applications in Python
Contents:
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