The strength of the association between two variables is known as the correlation test. For instance, if one is interested to know whether there is… Read More

# Tag Archives: R Machine-Learning

Conditional Inference Trees is a non-parametric class of decision trees and is also known as unbiased recursive partitioning. It is a recursive partitioning approach for… Read More

In R programming, data analysis and visualization is so easy to learn the behaviour of the data. Moreover, the R language is used mostly in… Read More

A series or set of algorithms that try to recognize the underlying relationship in a data set through a definite process that mimics the operation… Read More

Random forest approach is supervised nonlinear classification and regression algorithm. Classification is a process of classifying a group of datasets in categories or classes. As… Read More

Stem and Leaf plot is a technique of displaying the frequencies with which some classes of values may occur. It is basically a method of… Read More

Random Forest approach is a supervised learning algorithm. It builds the multiple decision trees which are known as forest and glue them together to urge… Read More

Polynomial Regression is a form of linear regression in which the relationship between the independent variable x and dependent variable y is modeled as an… Read More

One of the most popular or well established Machine Learning technique is Linear Discriminant Analysis (LDA ). It is mainly used to solve classification problems… Read More

Association Rule Mining in R Language is an Unsupervised Non-linear algorithm to uncover how the items are associated with each other. In it, frequent Mining… Read More

In statistics, Logistic Regression is a model that takes response variables (dependent variable) and features (independent variables) to determine the estimated probability of an event.… Read More

Hierarchical clustering in R Programming Language is an Unsupervised non-linear algorithm in which clusters are created such that they have a hierarchy(or a pre-determined ordering).… Read More

Density-Based Clustering of Applications with Noise(DBScan) is an Unsupervised learning Non-linear algorithm. It does use the idea of density reachability and density connectivity. The data… Read More

K Means Clustering in R Programming is an Unsupervised Non-linear algorithm that cluster data based on similarity or similar groups. It seeks to partition the… Read More

lm() function in R Language is a linear model function, used for linear regression analysis. Syntax: lm(formula) Parameters: formula: model description, such as x ~… Read More