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KNN falls in the supervised learning family of algorithms. Informally, this means that we are given a labelled dataset consiting of training observations (x,y) and would like to capture the relationship between x and y. More formally, our goal is to learn a function h:X→Y so that given an unseen observation x, h(x) can confidently predict the corresponding output y.

Home Page: https://mvnrepository.com/artifact/org.apache.poi/poi/3.9

Java 100.00%

knn-irisdataset's Introduction

git commit -m "|#73| Snigdhajyoti | Hi there 👋"

  • 🔭 I’m currently working on Java, AWS
  • 🌱 I’m currently learning Kafka
  • 👯 I’m looking to collaborate on Java Open-Source
  • 😄 Pronouns: He/Him

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