[[D.o.w.n.l.o.a.d R.e.a

[[D.o.w.n.l.o.a.d R.e.a.d]] Data Preprocessing: Optimizing
Data Quality and Structure for Effective Analysis and Machine
Learning [EBOOK EPUB KIDLE]
Data Preprocessing: Optimizing Data
Quality and Structure for Effective
Analysis and Machine Learning
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[[D.o.w.n.l.o.a.d R.e.a.d]] Data Preprocessing: Optimizing
Data Quality and Structure for Effective Analysis and Machine
Learning [EBOOK EPUB KIDLE]

Description
Data Preprocessing: Optimizing Data Quality and Structure for Effective
Analysis and Machine Learning is a comprehensive guide to the process of
preparing data for analysis and machine learning. With the exponential
growth of data in today's world, effective data preprocessing has become
a critical step in the success of any data analysis or machine learning
project. This book provides a detailed overview of the fundamental
concepts, techniques, and best practices involved in data preprocessing,
along with practical examples and case studies.The book covers a range
of topics, including data cleaning, transformation, integration,
reduction, and discretization, as well as specific applications of data
preprocessing for image, audio, text, and time-series data. The author
provides an overview of the different tools and techniques available for
data preprocessing, along with real-world examples and case studies in
different industries and domains.Readers will learn how to handle
missing values, outliers, and irrelevant data, as well as how to
transform, scale, and select features. They will also gain an
understanding of the challenges involved in data preprocessing, as well
as emerging trends and technologies in the field. Whether you are a data
scientist, machine learning engineer, or analyst, this book is an
essential resource for optimizing the quality and structure of your data
for effective analysis and machine learning.