Atıf Formatları
A customer churn prediction using KNN algorithm and logistic regression with Python
  • IEEE
  • ACM
  • APA
  • Chicago
  • MLA
  • Harvard
  • BibTeX

M. F. Karaaslan And N. Y. Büyükdoğan , "A customer churn prediction using KNN algorithm and logistic regression with Python ," 6th International Conference on Mathematics: An Istanbul Meeting for World Mathematicians , İstanbul, Turkey, pp.1-2, 2022

Karaaslan, M. F. And Büyükdoğan , N. Y. 2022. A customer churn prediction using KNN algorithm and logistic regression with Python . 6th International Conference on Mathematics: An Istanbul Meeting for World Mathematicians , (İstanbul, Turkey), 1-2.

Karaaslan, M. F., & Büyükdoğan , N. Y., (2022). A customer churn prediction using KNN algorithm and logistic regression with Python . 6th International Conference on Mathematics: An Istanbul Meeting for World Mathematicians (pp.1-2). İstanbul, Turkey

Karaaslan, Mehmet, And Nursu Yaren Büyükdoğan . "A customer churn prediction using KNN algorithm and logistic regression with Python ," 6th International Conference on Mathematics: An Istanbul Meeting for World Mathematicians, İstanbul, Turkey, 2022

Karaaslan, Mehmet F. And Büyükdoğan , Nursu Y. . "A customer churn prediction using KNN algorithm and logistic regression with Python ." 6th International Conference on Mathematics: An Istanbul Meeting for World Mathematicians , İstanbul, Turkey, pp.1-2, 2022

Karaaslan, M. F. And Büyükdoğan , N. Y. (2022) . "A customer churn prediction using KNN algorithm and logistic regression with Python ." 6th International Conference on Mathematics: An Istanbul Meeting for World Mathematicians , İstanbul, Turkey, pp.1-2.

@conferencepaper{conferencepaper, author={Mehmet Fatih KARAASLAN And author={Nursu Yaren Büyükdoğan }, title={A customer churn prediction using KNN algorithm and logistic regression with Python }, congress name={6th International Conference on Mathematics: An Istanbul Meeting for World Mathematicians}, city={İstanbul}, country={Turkey}, year={2022}, pages={1-2} }