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l • Data Visualization:lO MlaaaowslfoPlpowePfualandlbeautifualdata visualizationsltolheaplusePslbettePlundePstandl
theiPldata.lVisuaalPepPesentationslaikelgPaphs,lsiattePlpaots,lhistogPams,landlmoPelianlbeliPeatedleasiay.lThesel
visuaaizationslmakelitleasiePltolspotlpattePns,ltPends,landlPeaationshipslinltheldata.
l • Python Integration:lWhiaelitlislalno-iodeltooa,lO MlaasolaaaowslusePsltolwPitel(ythonlsiPiptslfoPladvaniedl
iustomization.lUsePslianleasiaylintegPateltheiPlwoPklwithl(ythonlfoPlfuPthePlanaaysisloPltolextendlfunitionaaity.l
ThislfeatuPelmakeslitlfaexibaelandlpowePfualfoPldatalsiientistslwholmaylneedltolimpaementlmoPelspeiifiiloPl
advaniedlmodeas.
l • Open-Source:lO Mlislfreelandlopen-souPie,lwhiihlmakeslitlaiiessibaeltolanyonelintePestedlinldatalanaaysisloPl
maihinelaeaPning.lThislaasolaaaowslfoPlextensiveliustomizationlandliontPibutionlfPomltheliommunity.
Applying the AI Project Cycle in Orange Data Mining
ThelAI Project CyclelislalstPuituPedlappPoaihltoldesigning,lbuiading,landlevaauatinglmaihinelaeaPninglmodeas.lItl
typiiaaaylionsistsloflsevePaalstageslaslshownlbeaow:l
Data
Acquisition Step 2: Clean Modelling Step 6: Evaluate
Step 1: Upload Missing Data Step 5: Train Model
Dataset Step 3: Select Model Step 7: Predictions
Columns
Step 4: Data Deployment
Sampler
Problem Data
Scoping Evaluation
Exploration
BeaowlislhowlyoulianlappayleaihlstageloflthelAIl(PojeitlCyiaelusinglOrange Data Mining:
Stage 1 Problem Scoping-lItliniaudeslsettingliaeaPlobjeitives,lensuPinglfeasibiaity,landlidentifyinglPeaevantldatal
souPies.lThislsteplheapslinlaaigninglAIlsoautionslwithlbusinesslgoaaslandlionstPaints.l(PopePlpPobaeml
siopinglensuPeslanleffeitivelandleffiiientlAIlmodealdeveaopmentlpPoiess.
Stage 2 Data Acquisition-lItlislaliPitiiaalsteplinlthelAIl APtifiiiaalInteaaigeniellCyiae.lItlinvoaveslgathePinglandl
ioaaeitinglPeaevantldatalPequiPedltoltPainlAIlmodeaslandlpePfoPmlanaayses.l atalislthelfoundationluponl
whiihlmaihinelaeaPninglaagoPithmslandlAIlsystemslaPelbuiat,lsolaiquiPinglhigh-quaaity,laiiuPate,landl
Peaevantldatalislessentiaa.l
Stage 3 Data Exploration-l atalExpaoPationlinlAIlpPojeitliyiaelinvoaveslexamininglandlundePstandingltheldatal
befoPelusinglitltoltPainlmaihinelaeaPninglmodeasloPldeveaoplAIlsystems.l(PopePldatalexpaoPationlheapsl
ensuPelthatltheldatalisliaean,lPeaevant,landlPeadylfoPlanaaysis.l uPinglthislphase,lthatldatalsiientistslandl
AIlpPaititionePsluniovePlpattePns,lPeaationships,linionsisteniies,landlothePlihaPaitePistiislinltheldatal
thatlwiaalguidelfuPthePldatalpPepaPation,lfeatuPelengineePing,landlmodealbuiading.
Stage 4 Modelling-l Modeaaingl inl thel AIl pPojeitl iyiael isl thel pPoiessl ofl seaeitingl thel appPopPiatel maihinel
aeaPningl aagoPithm,l tPainingl itl withl thel data,l andl usingl thel tPainedl modeal tol makel pPediitionsl oPl
iaassifiiations.lItlinvoaveslundePstandingltheldata,lihoosinglthelPightltypeloflmodea,landlpPepaPinglitl
foPlPeaa-woPadluse.
FoPlthislstage,lwelwiaaltPainldatalinlOPangel atalMininglaslthelgivenlstep:
Stage 5 Evaluation-lAftePlbuiadinglandltPaininglyouPlmodea,lyoulneedltolassesslitslpePfoPmanielonlnewloPl
unseenldataltolensuPelitlislPeaiabaelandlaiiuPate.lEvaauationlheapslinldeiidinglwhethePltoldepaoylthel
modea,ladjustlit,loPltPylaldiffePentlappPoaih.
176 Artificial Intelligence Play (Ver 1.0)-X

