AIML for Data Science
Syllabus Key types of data analytics Role of ML in Data Science Unit 1 Introduction to ML Assignment 1 Submit here Types of Regression Types of classification Concept of underfitting and overfitting KNN Decision trees and unsupervised learning K-Nearest Neighbor(KNN) Algorithm for Machine Learning K-Nearest Neighbour is one of the simplest Machine Learning algorithms based on Supervised Learning technique. K-NN algorithm assumes the similarity between the new case/data and available cases and put the new case into the category that is most similar to the available categories. K-NN algorithm stores all the available data and classifies a new data point based on the similarity. This means when new data appears then it can be easily classified into a well suite category by using K- NN algorithm. K-NN algorithm can be used for Regression as well as for Classification but mostly it is used for the Classification problems. K-NN is a non-parametric algorithm , which means it does not ma