Data Science

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BI Implementation

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About Anada

We provide big data analytics Techniques & Data Solutions

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Big Data

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Work Process

How We Work

01

Frame the Problem

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02

Collect Data

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03

Process Data

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Our Skill

We are master in data science
& big data analysis

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Data Anaylsis88%
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AI Solutions70%
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R’da Normal Dağılım Eğrisi Altındaki Alanların ve Bir Fonskiyonun Grafiği

Çalışma kapsamında normal dağılım gösteren veri setlerinde normal dağılım eğrisi altında kalan alanın gösterimi ve fonksiyon grafiği oluşturma üzerine uygulamalar yapılmıştır. Bu amaçla ggplot2 ve tigerstats kütüphaneleri kullanılmıştır. Ayrıca çok yalın bir şekilde tekrarsız basit tesadüfi örnekleme (simple random sampling without replacement) yöntemiyle popülasyondan örneklem seçimi gösterilmiştir. Yüklenen kütüphaneler Örnek 1 Bir üniversiteye giriş sınavının […]

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Bulut Endeksi (BE)’nin R’da Fonksiyonu ve Grafiği

Intro Within the scope of the study, BI method, which was developed as a multi-criteria decision-making (MCDM) method, is shown to be used in R by writing the function in R. Also, it is aimed to reinforce the method by showing the use of the function on the practical example. Giriş Bulut Endeksi (BE) hakemli […]

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Çok Kriterli Karar Verme Yöntemi Olarak APLOCO’nun Fonksiyonu ve Grafiği

Giriş Çalışma kapsamında çok kriterli karar verme yöntemi olarak geliştirilmiş olan APLOCO (Logaritmik Konsept Yaklaşımı) metodunun R‘da fonksiyonu yazılarak R’da kullanımı gösterilmiştir. APLOCO fonksiyonu Hacettepe Üniversitesi Bilgisayar Mühendisliği Doktora programından Doç. Dr. Burkay Genç hocamla birlikte oluşturulmuştur. Oluşturulmuş fonksiyon Python programlama dilini de rahatlıkla uyarlanabilir. APLOCO metodunun makalesi için https://arxiv.org/abs/1802.04095 linkine tıklayınız. R programlama dili […]

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