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首页Python预测分析实战:从入门到精通
Python预测分析实战:从入门到精通
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更新于2024-07-21
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"《学习Python预测分析:1783》是一本实用指南,旨在帮助读者深入了解并掌握使用Python进行预测建模的实际操作。在大数据时代,社交媒体和物联网产生的海量数据需要经过处理和建模才能发挥其潜力,Python凭借其丰富的库和IDE成为首选工具。本书涵盖了从基础到高级的方方面面,包括预测模型的基本概念、数据清洗、数据预处理、统计与数学原理的结合,以及具体算法如线性回归、逻辑回归、聚类分析、决策树和随机森林的Python实现。 第一章介绍了预测建模的基础,引导读者理解预测模型背后的统计和数学原理,并通过pandas、scikit-learn和numpy等库进行实践。接下来的章节详细讲解了如何清洗和准备数据,以便于建模,涉及数据导入、清理、子集选择、合并等操作。书中还着重介绍了线性回归、逻辑回归这些广泛应用的算法,以及如何解决实施预测模型过程中可能出现的问题和最佳实践。 此外,作者通过实例探讨了实际应用场景,比如LinkedIn的“也查看过”功能、精准在线广告投放、圣克鲁斯的预测性警务以及基于加速度计数据判断智能手机用户活动的应用,以展示预测分析在商业和社会各领域的实际效果。 通过本书,读者将学会从头编写Python模块或函数来执行预测算法的各个部分,理解并掌握在Python中高效处理和构建预测模型的最佳方法。无论你是初学者还是有经验的数据分析师,这本书都将提供一个系统且深入的学习路径,帮助你在数据驱动的世界中提升技能。"
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LearningPredictiveAnalyticswith
Python
Copyright©2016PacktPublishing
Allrightsreserved.Nopartofthisbookmaybereproduced,storedinaretrievalsystem,
ortransmittedinanyformorbyanymeans,withoutthepriorwrittenpermissionofthe
publisher,exceptinthecaseofbriefquotationsembeddedincriticalarticlesorreviews.
Everyefforthasbeenmadeinthepreparationofthisbooktoensuretheaccuracyofthe
informationpresented.However,theinformationcontainedinthisbookissoldwithout
warranty,eitherexpressorimplied.Neithertheauthor,norPacktPublishing,andits
dealersanddistributorswillbeheldliableforanydamagescausedorallegedtobecaused
directlyorindirectlybythisbook.
PacktPublishinghasendeavoredtoprovidetrademarkinformationaboutallofthe
companiesandproductsmentionedinthisbookbytheappropriateuseofcapitals.
However,PacktPublishingcannotguaranteetheaccuracyofthisinformation.
Firstpublished:February2016
Productionreference:1050216
PublishedbyPacktPublishingLtd.
LiveryPlace
35LiveryStreet
BirminghamB32PB,UK.
ISBN978-1-78398-326-1
www.packtpub.com
Credits
Author
AshishKumar
Reviewer
MattHollingsworth
CommissioningEditor
KartikeyPandey
AcquisitionEditor
NikhilKarkal
ContentDevelopmentEditor
AmeyVarangaonkar
TechnicalEditor
SaurabhMalhotra
CopyEditor
SnehaSingh
ProjectCoordinator
FrancinaPinto
Proofreader
SafisEditing
Indexer
HemanginiBari
Graphics
DishaHaria
KirkD’Penha
ProductionCoordinator
ShantanuN.Zagade
CoverWork
ShantanuN.Zagade
Foreword
Datascienceischangingthewaywegoaboutourdailylivesatanunprecedentedpace.
Therecommendationsyouseeone-commercewebsites,thetechnologiesthatprevent
creditcardfraud,thelogicbehindairlineitineraryandrouteselections,theproductsand
discountsyouseeinretailstores,andmanymoredecisionsarelargelypoweredbydata
science.Futuristicsoundingapplicationslikeself-drivingcars,robotstodohousehold
chores,smartwearabletechnologies,andsoonarebecomingareality,thanksto
innovationsindatascience.
Predictiveanalyticsisabranchofdatascience,usedtopredictunknownfutureevents
basedonhistoricaldata.Itusesanumberoftechniquesfromdatamining,statistical
modellingandmachinelearningtohelpmakeforecastswithanacceptablelevelof
reliability.
Pythonisahigh-level,object-orientedprogramminglanguage.Ithasgainedpopularity
becauseofitsclearsyntaxandreadability,andbeginnerscanpickupthelanguageeasily.
Itcomeswithalargelibraryofmodulesthatcanbeusedtodoamultitudeoftasksranging
fromdatacleaningtobuildingcomplexpredictivemodellingalgorithms.
I’maco-founderatTigerAnalytics,afirmspecializinginprovidingdatascienceand
predictiveanalyticssolutionstobusinesses.Overthelastdecade,Ihaveworkedwith
clientsatnumerousFortune100companiesandstart-upsalike,andarchitectedavariety
ofdatasciencesolutionframeworks.AshishKumar,theauthorofthisbook,iscurrentlya
buddingdatascientistatourcompany.Hehasworkedonseveralpredictiveanalytics
engagements,andunderstandshowbusinessesareusingdatatobringinscientificdecision
makingtotheirorganizations.Beingayoungpractitioner,Ashishrelatestosomeonewho
wantstolearnpredictiveanalyticsfromscratch.Thisisclearlyreflectedinthewayhe
presentsseveralconceptsinthebook.
Whetheryouareabeginnerindatasciencelookingtobuildacareerinthisarea,ora
weekendenthusiastcurioustoexplorepredictiveanalyticsinahands-onmanner,youwill
needtostartfromthebasicsandgetagoodhandleonthebuildingblocks.Thisbookhelps
youtakethefirststepsinthisbravenewworld;itteachesyouhowtouseandimplement
predictivemodellingalgorithmsusingPython.Thebookdoesnotassumepriorknowledge
inanalyticsorprogramming.Itdifferentiatesitselffromothersuchprogramming
cookbooksasitusespubliclyavailabledatasetsthatcloselyrepresentdataencounteredin
businessscenarios,andwalksyouthroughtheanalysisstepsinaclearmanner.
Thereareninechaptersinthebook.Thefirstfewchaptersfocusondataexplorationand
cleaning.Itiswrittenkeepingbeginnerstoprogramminginmind—byexplainingdifferent
datastructuresandthengoingdeeperintovariousmethodsofdataprocessingand
cleaning.Subsequentchapterscoverthepopularpredictivemodellingalgorithmslike
linearregression,logisticregression,clustering,decisiontrees,andsoon.Eachchapter
broadlycoversfouraspectsoftheparticularmodel—mathbehindthemodel,different
typesofthemodel,implementingthemodelinPython,andinterpretingtheresults.
剩余492页未读,继续阅读
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