Understanding of Algorithms. KNNs and Naive Bayes

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Project Report from the year 2021 in the subject Computer Science - Applied, grade: 17/20, University of Poitiers, course: Machine Learning, language: English, abstract: In this project, we would tackle three different parts using Python programming language and JupyterLab. The first part is focusing on programming KNNs (K-nearest neighbors) and NBs (Naive Bayes) from scratch. Then, we would move ...
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Project Report from the year 2021 in the subject Computer Science - Applied, grade: 17/20, University of Poitiers, course: Machine Learning, language: English, abstract: In this project, we would tackle three different parts using Python programming language and JupyterLab. The first part is focusing on programming KNNs (K-nearest neighbors) and NBs (Naive Bayes) from scratch. Then, we would move ...
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  • ISBN: 9783346653949
  • Number of pages: 13
  • Copy protection: None
  • Publication Date: Jun 1, 2022
  • Publisher: GRIN VERLAG
  • Language: English
  • Format: pdf

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