Data Analytics Using Python / by Bharti Motwani

By:

Motwani, Bharti [author.]

Material type: Text

TextPublication details: New Delhi : Wiley, 2020.Description: 734 pContent type:

text

Media type:

computer

ISBN:

9788126502950

Subject(s):

Additional physical formats: Print version:: data analytics using Python; Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:

005.133 Python 23 MOT

Contents:

Chapter 1: Introduction -- Chapter 2: ETL with Python -- Chapter 3: Supervised Learning with Python -- Chapter 4: Unsupervised Learning with Python -- Chapter 5: Deep Learning and Neural Networks -- Chapter 6: Time Series Analysis -- Chapter 7: Python in Emerging Technologies.

Summary: Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You'll also see examples of machine learning concepts such as semi-supervised learning, deep learning, and NLP. Advanced Data Analytics Using Python also covers important traditional data analysis techniques such as time series and principal component analysis. After reading this book you will have experience of every technical aspect of an analytics project. You'll get to know the concepts using Python code, giving you samples to use in your own projects. You will: Work with data analysis techniques such as classification, clustering, regression, and forecasting Handle structured and unstructured data, ETL techniques, and different kinds of databases such as Neo4j, Elasticsearch, MongoDB, and MySQL Examine the different big data frameworks, including Hadoop and Spark Discover advanced machine learning concepts such as semi-supervised learning, deep learning, and NLP.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	Prof. Ram Dayal Munda Central Library, IGNTU Amarkantak M.P. Reference	Computer Science	005.133 Python MOT (Browse shelf(Opens below))	Not For Loan		79798
Books	Prof. Ram Dayal Munda Central Library, IGNTU Amarkantak M.P. General Stacks	Computer Science	005.133 Python MOT (Browse shelf(Opens below))	Available		79799

Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You'll also see examples of machine learning concepts such as semi-supervised learning, deep learning, and NLP. Advanced Data Analytics Using Python also covers important traditional data analysis techniques such as time series and principal component analysis. After reading this book you will have experience of every technical aspect of an analytics project. You'll get to know the concepts using Python code, giving you samples to use in your own projects. You will: Work with data analysis techniques such as classification, clustering, regression, and forecasting Handle structured and unstructured data, ETL techniques, and different kinds of databases such as Neo4j, Elasticsearch, MongoDB, and MySQL Examine the different big data frameworks, including Hadoop and Spark Discover advanced machine learning concepts such as semi-supervised learning, deep learning, and NLP.

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Data Analytics Using Python / by Bharti Motwani

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