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Hands on Data Preprocessing Python by Jafari Roy (14 results)
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Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics (Paperback or Softback)
Published by Packt Publishing 1/21/2022, 2022
ISBN 10: 1801072132 ISBN 13: 9781801072137
Language: English
Paperback or Softback. Condition: New. Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics 2.25. Book.
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Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics
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Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics
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Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics
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US$ 69.48
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Add to basketCondition: New. Whether you re a data analyst new to programming or already familiar with it, this book will teach you the optimum techniques for data preprocessing from both technical and analytical perspectives. You ll explore the world of advanced data manipulation and .
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Hands-On Data Preprocessing in Python
Published by Packt Publishing Limited, 2022
ISBN 10: 1801072132 ISBN 13: 9781801072137
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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US$ 62.75
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Hands-On Data Preprocessing in Python
Published by Packt Publishing Limited, 2022
ISBN 10: 1801072132 ISBN 13: 9781801072137
Language: English
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics
Published by Packt Publishing Limited, 2022
ISBN 10: 1801072132 ISBN 13: 9781801072137
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 68.34
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 100.
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book will make the link between data cleaning and preprocessing to help you design effective data analytic solutions Key Features:Develop the skills to perform data cleaning, data integration, data reduction, and data transformation Get ready to make the most of your data with powerful data transformation and massaging techniques Perform thorough data cleaning, such as dealing with missing values and outliers Book Description: Data preprocessing is the first step in data visualization, data analytics, and machine learning, where data is prepared for analytics functions to get the best possible insights. Around 90% of the time spent on data analytics, data visualization, and machine learning projects is dedicated to performing data preprocessing. This book will equip you with the optimum data preprocessing techniques from multiple perspectives. You'll learn about different technical and analytical aspects of data preprocessing - data collection, data cleaning, data integration, data reduction, and data transformation - and get to grips with implementing them using the open source Python programming environment. This book will provide a comprehensive articulation of data preprocessing, its whys and hows, and help you identify opportunities where data analytics could lead to more effective decision making. It also demonstrates the role of data management systems and technologies for effective analytics and how to use APIs to pull data. By the end of this Python data preprocessing book, you'll be able to use Python to read, manipulate, and analyze data; perform data cleaning, integration, reduction, and transformation techniques; and handle outliers or missing values to effectively prepare data for analytic tools. What You Will Learn:Use Python to perform analytics functions on your data Understand the role of databases and how to effectively pull data from databases Perform data preprocessing steps defined by your analytics goals Recognize and resolve data integration challenges Identify the need for data reduction and execute it Detect opportunities to improve analytics with data transformation Who this book is for: Junior and senior data analysts, business intelligence professionals, engineering undergraduates, and data enthusiasts looking to perform preprocessing and data cleaning on large amounts of data will find this book useful. Basic programming skills, such as working with variables, conditionals, and loops, along with beginner-level knowledge of Python and simple analytics experience, are assumed.
