Random Forest is a supervised machine learning algorithm. It is an ensemble algorithm that uses an approach of bootstrap aggregation in the background to make… Read More

# Tag Archives: R Machine-Learning

Logarithmic regression is a sort of regression that is used to simulate situations in which growth or decay accelerates quickly initially and then slows down… Read More

In this article, we will discuss how to remove intercept from the Regression model in the R Programming Language. Extract intercept from the linear regression… Read More

In this article, we will learn how to use the lm() function to fit linear models in the R Programming Language. A linear model is… Read More

A regression line is basically used in statistical models which help to estimate the relationship between a dependent variable and at least one independent variable.… Read More

Linear regression is a method of predictive analysis in machine learning. It is basically used to check two things: If a set of predictor variables… Read More

Machine Learning is a subset of artificial intelligence that focuses on the development of computer software or programs that access data to learn themselves and… Read More

Cluster analysis or clustering is a technique to find subgroups of data points within a data set. The data points belonging to the same subgroup… Read More

Feature engineering is the most important technique used in creating machine learning models. Feature Engineering is a basic term used to cover many operations that… Read More

Prerequisite: Multiple Linear Regression using R A well-fitting regression model produces predicted values close to the observed data values. The mean model, which uses the… Read More

Arthur Samuel, a pioneer in the field of artificial intelligence and computer gaming, coined the term “Machine Learning”. He defined machine learning as – “Field… Read More

Apriori algorithm is used for finding frequent itemsets in a dataset for association rule mining. It is called Apriori because it uses prior knowledge of… Read More

Packages in the R programming are a collection of R functions, compiled code, and sample data. They are stored under a directory called “library” in… Read More

A popular nonparametric(distribution-free) test to compare outcomes between two independent groups is the Mann Whitney U test. When comparing two independent samples, when the outcome… Read More

The prime aim of any machine learning model is to predict the outcome of real-time data. To check whether the developed model is efficient enough… Read More