December 28, 2016 deeplearning

Neural Networks For Machine Learning in R

Neural networks almost mimics the working of human brain.The neurons are connected by axons in human brain.Same way we have neural units in neural networks. Neural networks consist of multiple layers.And each layer has neural units .One is input layer and one is output layer.In between them we have more layers also called as hidden […]

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December 28, 2016 Decision Tree for Data Analytics in R

Decision Tree for Data Analytics in R

A decision tree is a model that uses a tree-like graph for finding outcome decisions with probabilities. Decision tree learning is a supervised classification learning. Its a popular tool in machine learning. A typical decision tree looks like below In above figure, 0 and 1 at leaf nodes represent outcome variable classes.Its a binary classification.Names […]

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December 28, 2016 Random Forest for Machine Learning in R

Random Forest for Machine Learning in R

Random forests are supervised machine learning method for classification and regression. Random forest is way of averaging multiple decision trees which are trained on different parts of the same training set. In Decision tree we make splits on predictor variables to predict the target. In Random Forest,we build many decision trees and then take the […]

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