Python Data Science the ultimate and complete beginners guide to master data science with Python step by step

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Park, Andrew (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: [Erscheinungsort nicht ermittelbar] [Andrew Park] [2020]
Schlagworte:
Online-Zugang:Inhaltsverzeichnis
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

MARC

LEADER 00000nam a2200000 c 4500
001 BV047307134
003 DE-604
005 20211006
007 t|
008 210602s2020 xx |||| 00||| eng d
020 |a 9798664667851  |9 9798664667851 
035 |a (OCoLC)1268196075 
035 |a (DE-599)BVBBV047307134 
040 |a DE-604  |b ger  |e rda 
041 0 |a eng 
049 |a DE-355 
084 |a ST 250  |0 (DE-625)143626:  |2 rvk 
100 1 |a Park, Andrew  |e Verfasser  |4 aut 
245 1 0 |a Python Data Science  |b the ultimate and complete beginners guide to master data science with Python step by step  |c Andrew Park 
264 1 |a [Erscheinungsort nicht ermittelbar]  |b [Andrew Park]  |c [2020] 
300 |a 132 Seiten 
336 |b txt  |2 rdacontent 
337 |b n  |2 rdamedia 
338 |b nc  |2 rdacarrier 
650 0 7 |a Data Science  |0 (DE-588)1140936166  |2 gnd  |9 rswk-swf 
650 0 7 |a Python  |g Programmiersprache  |0 (DE-588)4434275-5  |2 gnd  |9 rswk-swf 
689 0 0 |a Python  |g Programmiersprache  |0 (DE-588)4434275-5  |D s 
689 0 1 |a Data Science  |0 (DE-588)1140936166  |D s 
689 0 |5 DE-604 
856 4 2 |m Digitalisierung UB Regensburg - ADAM Catalogue Enrichment  |q application/pdf  |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032710151&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA  |3 Inhaltsverzeichnis 
943 1 |a oai:aleph.bib-bvb.de:BVB01-032710151 

Datensatz im Suchindex

_version_ 1819604827025440768
adam_text Table of Contents INTRODUCTION......................................................................................... 5 Data discovery............................................................................................... 7 Getting the data prepared..........................................................................8 Mathematical models.................................................................................. 9 Putting it all into action.......................................................................... ю The importance of communication........................................................... u CHAPTER і: HISTORY OF DATA SCIENCE...................................... 14 CHAPTER 2: WORiaNG WITH PYTHON FOR DATA SCIENCE...................................................................................................18 Why Is Python Important?........................................................................ 18 The Role of Python in Data Science....................................................... 20 PythonEngineering Structure................................................................27 CHAPTER 3: MACHINE LEARNING AND HOW IT FITS WITH DATA SCIENCE......................................................................................... ЗО What is Machine Learning?............................................................... 31 CHAPTER 4: DATA STRUCTURES OBJECT-ORIENTED PYTHON........................................................................ ............................ 35 Immutable structured data (static)....................................................... 36 Tuples............................................................................................................. 45 Indexing, trimming and other tuple operations...................................47 Tuple Methods..................................................................... 52 Zip function...................................................... 53 Frozen sets (Frozen set)............................................................................ 53 Indexing, trimming and other list operations................ 56 Object-oriented programming with Python................................. 60 CHAPTER 5։ DATA SCIENCE ALGORITHMS AND MODELS..... 66 Neural Networks............................................ 66 Naïve Bayes..................................................................... 69 Clustering algorithms.............................................................................. 70 Support Vector Machines...........................................................................71 Decision Trees.............................................................................................. 73 К-Nearest Neighbors..................................................................................74 The Markov Algorithm...............................................................................76 3 CHAPTER 6: REGRESSION ANALYSIS (LINEAR AND LOGISTIC REGRESSION)............................... 78 Linear Regression.................................................. 79 Logistic Regression.................................................................................... 83 Logistic Regression vs. Linear Regression........................................... 88 How Does Machine Learning Compare to AI......................................... 89 CHAPTER 7: DATA AGGREGATION AND GROUP OPERATIONS.......................................................................................... 94 What is Data Aggregation......................................................................... 95 CHAPTER 8:PRACTICAL CODES AND EXERCISES TO USE PYTHON................................................................................................... 98 CHAPTER 9 : FUNCTIONS AND MODULES IN PYTHON.......... 108 The Syntax of Functions.......................................................................... 108 How Functions are Called in Python................................................... 109 CHAPTER ««INTERACTION WITH DATABASES........................ ill The Pickle Module...................................................................................... 111 The SQL1TE3 Module.................................................................................. 113 Building a Digital Spider.......................................................................... 116 CHAPTER lliDATA MINING TECHNIQUES IN DATA SCIENCE.................................................................................................... 119 Mapreduce Technique............................................................................... 119 Distance Measures.....................................................................................120 Link Analysis............................................................................................... 120 Pagerank........................................................... 121 The Content................................................................................................. 121 Data Streaming............................................................................................121 Sampling data in a Stream........................................................................ 122 Filtering Streams...................................................................................... 122 Count Specific Elements in a Stream....................... 122 Frequent Item - Set Analysis.................................................................. 123 CHAPTER 12SDATA IN THE CLOUD................................................. 124 What is the Cloud?............................................ 124 Cloud and Big data Governance.............................................................128 CONCLUSION............................................................................................131 4
any_adam_object 1
author Park, Andrew
author_facet Park, Andrew
author_role aut
author_sort Park, Andrew
author_variant a p ap
building Verbundindex
bvnumber BV047307134
classification_rvk ST 250
ctrlnum (OCoLC)1268196075
(DE-599)BVBBV047307134
discipline Informatik
format Book
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01401nam a2200337 c 4500</leader><controlfield tag="001">BV047307134</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20211006 </controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">210602s2020 xx |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9798664667851</subfield><subfield code="9">9798664667851</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1268196075</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047307134</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-355</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 250</subfield><subfield code="0">(DE-625)143626:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Park, Andrew</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Python Data Science</subfield><subfield code="b">the ultimate and complete beginners guide to master data science with Python step by step</subfield><subfield code="c">Andrew Park</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Erscheinungsort nicht ermittelbar]</subfield><subfield code="b">[Andrew Park]</subfield><subfield code="c">[2020]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">132 Seiten</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Data Science</subfield><subfield code="0">(DE-588)1140936166</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Data Science</subfield><subfield code="0">(DE-588)1140936166</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">Digitalisierung UB Regensburg - ADAM Catalogue Enrichment</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&amp;doc_library=BVB01&amp;local_base=BVB01&amp;doc_number=032710151&amp;sequence=000001&amp;line_number=0001&amp;func_code=DB_RECORDS&amp;service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032710151</subfield></datafield></record></collection>
id DE-604.BV047307134
illustrated Not Illustrated
indexdate 2024-12-24T08:45:04Z
institution BVB
isbn 9798664667851
language English
oai_aleph_id oai:aleph.bib-bvb.de:BVB01-032710151
oclc_num 1268196075
open_access_boolean
owner DE-355
DE-BY-UBR
owner_facet DE-355
DE-BY-UBR
physical 132 Seiten
publishDate 2020
publishDateSearch 2020
publishDateSort 2020
publisher [Andrew Park]
record_format marc
spellingShingle Park, Andrew
Python Data Science the ultimate and complete beginners guide to master data science with Python step by step
Data Science (DE-588)1140936166 gnd
Python Programmiersprache (DE-588)4434275-5 gnd
subject_GND (DE-588)1140936166
(DE-588)4434275-5
title Python Data Science the ultimate and complete beginners guide to master data science with Python step by step
title_auth Python Data Science the ultimate and complete beginners guide to master data science with Python step by step
title_exact_search Python Data Science the ultimate and complete beginners guide to master data science with Python step by step
title_full Python Data Science the ultimate and complete beginners guide to master data science with Python step by step Andrew Park
title_fullStr Python Data Science the ultimate and complete beginners guide to master data science with Python step by step Andrew Park
title_full_unstemmed Python Data Science the ultimate and complete beginners guide to master data science with Python step by step Andrew Park
title_short Python Data Science
title_sort python data science the ultimate and complete beginners guide to master data science with python step by step
title_sub the ultimate and complete beginners guide to master data science with Python step by step
topic Data Science (DE-588)1140936166 gnd
Python Programmiersprache (DE-588)4434275-5 gnd
topic_facet Data Science
Python Programmiersprache
url http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032710151&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv AT parkandrew pythondatasciencetheultimateandcompletebeginnersguidetomasterdatasciencewithpythonstepbystep