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Category: supervised

KNN from Scratch

  • January 27, 2020June 27, 2021
  • by Niranjan B Subramanian

The K-Nearest Neighbor(KNN) classifier is one of the easiest classification methods to understand and is one of the most basic classification models available. KNN is a non-parametric method which classifies based on the distance to the […]

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Introduction to K-Nearest Neighbors

  • September 9, 2019June 27, 2021
  • by Niranjan B Subramanian

The K-nearest neighbor(K-NN) classifier is one of the easiest classification methods to understand and is one of the most basic classification models available. K-NN is a non-parametric method which classifies based on the distance to the […]

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Introduction to Support Vector Machine(SVM)

  • August 8, 2019June 27, 2021
  • by Niranjan B Subramanian

INTRODUCTION: Support Vector Machine(SVM) is the most popular and powerful supervised machine learning algorithm which is used for both classification and regression. However, it is more popular and extensively used in addressing the classification problems of […]

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