In this post we will learn, what is supervised Machine learning? We are also providing Assignment Help, Homework Help and other research related online Help services all over the world, if you need any computer science assignment related help then you can send your quote at here. Now we will back to "Supervised machine learning":

1. Supervised Learning

How it works: This algorithm consist of a target / outcome variable (or dependent variable) which is to be predicted from a given set of predictors (independent variables). Using these set of variables, we generate a function that map inputs to desired outputs. The training process continues until the model achieves a desired level of accuracy on the training data.

Examples of Supervised Learning:

• Regression,

• Decision Tree,

• Random Forest,

• KNN,

• Logistic Regression etc.

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