Write a k-Nearest Neighbor algorithm to classify the Iris data-set.

Write a k-Nearest Neighbor algorithm to classify the Iris data-set. Write both correct and wrong predictions. Write the best ML library that can be used for this problem. Link for Iris Data-set: https://archive.ics.uci.edu/ml/datasets/iris

Write a two page case study with the below details:

  1. Description of attributes of the given data-set.
  2. Determine the best feature used to get maximum accuracy.
  3. Design an algorithm for the given problem in case-study.
  4. Write the description of Machine Learning technique specified in case-study and explain its various types of applications.
  5. List the libraries used in the case study.

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