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In this repo, I have the course contents of Knime Analytics For Data Science training, which will be given to Sigorta Bilgi ve Gözetim Merkezi by the cooperation of Academy Peak Information Technologies Training and Consultancy between 28 - 30 March 2023.

License: MIT License

data-science knime knime-analytics-platform analytics data-visualization machine-learning

knime-analytics-for-data-science-lecture-notes's Introduction

Knime-Analytics-For-Data-Science-Lecture-Notes

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In this repo, I have the course contents of Knime Analytics For Data Science training, which will be given to Sigorta Bilgi ve Gözetim Merkezi by the cooperation of Academy Peak Information Technologies Training and Consultancy between 28 - 30 March 2023.

Bu repoda Academy Peak Bilişim Teknolojileri Eğitim ve Danışmanlık işbirliği ile 28 - 30 Mart 2023 tarihleri arasında Sigorta Bilgi ve Gözetim Merkezi'ne verilecek olan Knime Analytics For Data Science eğitiminin ders içerikleri yer almaktadır.

1. Gün

- Knime Analytics İle Veri Biliminine Giriş

  • Knime Knime Analytics Ortamını Tanıma, Basit Uygulamalar
  • Knime İle Veri Bilimi Yöntemleri (Makine Öğrenmesi, Veri Madenciliği, Büyük Veri, Veri Bilimi Kavramları)
  • Veriyi Tanımlayabilmek, Veriyi Renklendirme, Görselleştirme
  • Veriyi İşlemek (Etl, Preprocessing Süreçleri)
  • Veriyi Filtrelemek, Gruplamak, Birleştirmek

2.Gün

İleri Knime Analytics Kullanımları

  • Model Oluşturma (Veri Madenciliği, Makine Öğrenmesi, İstatistiksel Modeller)
  • Naïve Bayes, Karar Ağaçları, K-Means, Kümeleme, Regresyon Ve Tahminleme Yöntemleri
  • Başarı Değerlendirme (Confussion Matrix, K-Fold Cross Validation, Precision, Recall, Sensitivity, Specificity)

3. Gün

Knime Analytics'de Üst Öğrenme Algoritmaları

  • Derin Öğrenme Algoritması (Dl4j)
  • Knime Nodes (Operatörleri)
  • Knime İle Gerçek Hayat Örnekleri

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