Advanced Data Analytics Using Python_ With Machine Learning, Deep Learning and NLP Examples ( 2023)

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This is dedicated to all my math teachers,especially to Kalyan Chakraborty.
Table of ContentsAbout the AuthorxiAbout the Technical ReviewerxiiiAcknowledgmentsxvChapter 1: Introduction1Why Python?1When to Avoid Using Python2OOP in Python3Calling Other Languages in Python12Exposing the Python Model as a Microservice14High-Performance API and Concurrent Programming17Chapter 2: ETL with Python (Structured Data)23MySQL23How to Install MySQLdb?23Database Connection24INSERT Operation24READ Operation25DELETE Operation26UPDATE Operation27COMMIT Operation28ROLL-BACK Operation28v
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Page 7 and 8: Table of ContentsNaive Bayes Classi
Page 9 and 10: Table of ContentsTime-Series Analys
Page 11 and 12: About the Technical ReviewerSundar
Page 13 and 14: CHAPTER 1IntroductionIn this book,
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Page 17 and 18: Chapter 1Introductionif pageFile.ge
Page 19 and 20: Chapter 1Introductiondef parseSoupT
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Page 25 and 26: Chapter 1Introductionavailable in R
Page 27 and 28: Chapter 1Introductiong.scores = Tab
Page 29 and 30: Chapter 1Introductionif f == 'clien
Page 31 and 32: Chapter 1Introductionmetadata1 = Me
Page 33 and 34: Chapter 1Introduction(pred4,prob4)
Page 35 and 36: CHAPTER 2ETL with Python(Structured
Page 37 and 38: Chapter 2ETL with Python (Structure
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Chapter 2ETL with Python (Structure
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CHAPTER 3Supervised LearningUsing P
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Chapter 3Supervised Learning Using
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Decision TreeChapter 3 Supervised L
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CHAPTER 4UnsupervisedLearning: Clus
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Chapter 4Unsupervised Learning: Clu
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General and Euclidean DistanceThe d
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Chapter 4Graph Theoretical Approach
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CHAPTER 5Deep Learningand Neural Ne
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Chapter 5Deep Learning and Neural N
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Chapter 6Time SeriesFigure 6-1. A t
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Chapter 6Time SeriesA trend can be
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Chapter 6Time SeriesThe simple movi
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Chapter 6Time SeriesIrregular Fluct
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Chapter 6Time SeriesFigure 6-2 show
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Chapter 6Time Seriesìïïr ( k)=í
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Chapter 6Time SeriesThe autocovaria
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Chapter 6Time SeriesIn this case, r
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Chapter 6Time SeriesHere is how to
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Chapter 6 Time SeriesThe Fourier Tr
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Chapter 6Time Seriesmodel provides
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CHAPTER 7Analytics at ScaleIn recen
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Chapter 7Analytics at Scalealphabet
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Chapter 7Analytics at Scalepublic a
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Chapter 7Analytics at ScaleHere is
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Chapter 7Analytics at Scaleimport o
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Chapter 7Analytics at ScaleRootBDAS
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Chapter 7Analytics at ScaleTo test
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Chapter 7Analytics at ScaleHDFS Fil
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Chapter 7Analytics at ScaleJoin Pat
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Chapter 7Analytics at Scale}{}Strin
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Chapter 7Analytics at Scale}}String
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Chapter 7Analytics at ScaleSpark Co
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Chapter 7Analytics at Scalespeech p
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Chapter 7Analytics at Scaley=height
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Chapter 7Analytics at Scaleif not s
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Chapter 7Analytics at Scaleelse:(pr
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Chapter 7Analytics at Scalefor futu
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Chapter 7Analytics at ScaleYou can
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IndexCollaborative filtering, 52Com
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IndexNeo4j, 34Neo4j REST, 35Neural
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IndexTime series (cont.)transformat
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