Tag: k-Nearest Neighbors algorithm
K-nearest Neighbor for Machine Learning
Analogy behind KNN: tell me about your friend (who your neighbors are) and I will tell you who you are. KNN is a classification algorithm used in patter recognition. K nearest neighbors stores all available cases and classification new cases based on a similarity measure(e.g distance function). One of the top data mining algorithms used…
Read MoreWhat are the most important supervised and unsupervised algorithms?
Supervised Learning algorithms: K-nearest neighbors Linear regression Naïve Bayes Support vector machines Logistic regression Decision trees and random forests K-nearest neighbors: K-nearest neighbors is a Machine learning technique which comes under supervised learning. This technique can be used for classification or regression problems. In supervised learning, we need to specify a target value for the…
Read MoreWhat is Supervised Learning?
Supervised learning is when you have a teacher that has knowledge of the correct answer and is teaching someone else. This teaching can take any form, from simple human feedback or input to a more complex model that predicts the outcome of future events. Supervised learning requires two things: -Training data: The data is used…
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