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Data Visualization Research technique & Solution

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Collect Ongoing Big Data Design And Strategy

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Final Report Generate

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Data Science

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Artificial Intelligence

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Machine Learning

  • Linear Regression
  • Support Vector Machines
  • Random Forest
  • Ensemble Methods

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We are master in data science& big data analysis

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01

Frame the Problem

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02

Collect Data

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03

Process Data

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R’da Statik ve Dinamik Haritalama Vaka Çalışmaları: Türkiye Örneği

Veri görselleştirmenin bir boyutu da veri setlerindeki örüntünün haritalar üzerinde sunulmasıdır. Böylece verinin mekansal dağılımını daha iyi görebilir ve daha iyi yorumlayabiliriz. Bu çalışmada keşifsel veri analizi yapılarak mevcut veya sentetik olarak üretilen veri setleri uygulamalı olarak harita üzerinde gösterilmiştir. Uygulamalarda statik ve dinamik Türkiye haritaları oluşturulmuştur. Harita üzerinde çıkarımsal (inferential) istatistiklerinin gösterilmesi yani daha […]

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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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