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kano model and data mining compare and integrate

i want you to make small research about Kano model and it is integration with data mining to select most important attributes effect customer satisfaction

compare feature selection using machine learning with kano

compare kano with other slimier techniques so this include

 To predict the customer satisfaction using data mining techniques.

 To select the most important attributes that affect customer satisfaction using different data mining selection [login to view URL] run the prediction method to compare the performance

  Use Kano model to categorize attributes under the 5 Kano categories of customer requirements.

 To compare the Kano model attribute categorization with attributes selected by feature selection. Also how to relate those two approaches to each other.

Квалификация: Интеллектуальный анализ данных, Анализ и обработка данных, Язык программирования R, Machine Learning (ML), Статистика

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О работодателе:
( 1 отзыв ) alain, United Arab Emirates

ID проекта: #21255796

Поручен:

lismreuben

As a guru in Python and Neural nets, I wish to express my interest for this project. Please note I have 10+ years experience. I'd be happy to hear more details in chat. KR.

$30 USD за 3 дней(-я)
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0.0

6 фрилансеров(-а) в среднем готовы выполнить эту работу за $203

skfaroo123

Pro Statistics/Machine Learning (ML)/Data Mining/R Programming Language/Data Science Expert! Dear employer Once saw a your project, it was very attracted my mind because I am very interested in your project and also, Больше

$300 USD за 7 дней(-я)
(18 отзывов(-а))
6.0
MasterKym

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$400 USD за 7 дней(-я)
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4.8
gurumail10

Hi i am a data scientist working in machine learning from past 3 years. i have worked upon many projects like customer analytics, churn prediction, time series forecasting and many more. i have read your problem statem Больше

$277 USD за 15 дней(-я)
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1.0
arslanshabbir1

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$35 USD за 2 дней(-я)
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xentricsoft5

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$175 USD за 7 дней(-я)
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