Azure ML Part 9- Cross Validation: Machine Learning Prediction (6)

In the previous posts (from Part 1 to Part7), I have explained the whole process of doing machine learning inside the Azure ML, from import data, data cleaning, feature selection, training models, testing models, and evaluating. In the┬álast post, I have explained one of the main ways of improving the algorithms performance name as “Tune Read more about Azure ML Part 9- Cross Validation: Machine Learning Prediction (6)[…]

R Data Structures for Machine Learning

Every programming language has specific data structure. R language also has some predefined data structure that each of them can be useful for specific purposes. For doing machine learning in R, we normally use data structure such as Vector, List, Data Frame, factors, arrays and matrix. In this post I will explain some of them Read more about R Data Structures for Machine Learning[…]