Supervised Machine Learning Algorithms | aiensured.com

Supervised Machine Learning Algorithms
In several practical analytics scenarios, we need to perform machine learning with the specific output variable. In the case of examples like determining if a person has to be given a credit card or not the output, a variable is discrete and the method is classification.
In other examples, if we are trying to predict the stock price of a stock by machine learning on several related variables like the previous close, news related to stock, etc. it is regression. Several use cases of supervised learning of regression or classification exist in practical business scenarios.
Some of the common supervised learning algorithms include nearest neighbor algorithms and linear regression and logistic regression. The nearest neighbor algorithm can be used for regression as well as classification.
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