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KNN with iris dataset in machine learning algorithm implementation in python

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The document describes that k-nearest neighbour with iris dataset in machine learning algorithm that can be implemented in python code on the platform anaconda -Jupyter Notebook.

Institution
PONDICHERRY ENGINEERING COLLEGE
Course
Computer Science and enginerring (CS218)

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K-NEAREST NEIGHBOR
CLASSIFIER WITH IRIS DATASET
PRESENTED BY
ABARNA V
PRATHIBA R
BHAKYALAKSHMI B

, WHAT IS KNN ?
K Nearest Neighbour is a simple
algorithm that stores all the available
cases and classifies the new data or
case based on a similarity measures.

, What is KNN algorithm?

• It belongs to the supervised learning.
• KNN algorithm makes predictions by
calculating similarities between the
input samples and each instance
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Institution
PONDICHERRY ENGINEERING COLLEGE
Course
Computer Science and enginerring (CS218)
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Uploaded on
May 17, 2021
Number of pages
17
Written in
2020/2021
Type
PRESENTATION
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Subjects

  • k nearest neighbour
  • knn
  • knn with iris dataset
  • machine learning algorithm with iris dataset
  • iris dataset implemented in python code
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