Book Name: Advanced Data Analytics Using Python
Author: Sayan Mukhopadhyay
Publisher: Apress
ISBN-10: 1484234499
Year: 2018
Pages: 186
Language: English
File size: 2.1 MB
File format: PDF
Gain a wide base of innovative info analytics theories and find the current revolution in databases like Neo4j, Elasticsearch, and MongoDB. This publication discusses how to execute ETL techniques such as external broadcasting, which can be employed in domains including non invasive algorithmic trading and goal-oriented conversation systems. You will also see examples of machine learning theories like semi-supervised learning, deep learning, and NLP.
Advanced Data Analytics Utilizing Pythonalso covers significant conventional data analysis techniques like time series and principal component analysis. After studying this book you’ll have experience of each technical element of an analytics endeavor. You will get to understand the concepts using Python code, so providing you samples to use on your projects.
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