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Tag Archives: R regression

In this article, we will look into what is Interaction, and should we use interaction in our model to get better results or not.  Include… Read More
Categorical variables (also known as a factor or qualitative variables) are variables that classify observational values into groups. They are either string or numeric are… Read More
Regression is a multi-step process for estimating the relationships between a dependent variable and one or more independent variables also known as predictors or covariates.… Read More
The validation set approach is a cross-validation technique in Machine learning. Cross-validation techniques are often used to judge the performance and accuracy of a machine… Read More
Quantile Regression is an algorithm that studies the impact of independent variables on different quantiles of the dependent variable distribution. Quantile Regression provides a complete… Read More
Regularization is a form of regression technique that shrinks or regularizes or constraints the coefficient estimates towards 0 (or zero). In this technique, a penalty… Read More
Decision tree is a type of algorithm in machine learning that uses decisions as the features to represent the result in the form of a… Read More
Machine learning is a subset of Artificial Intelligence that provides a machine with the ability to learn automatically without being explicitly programmed. The machine in… Read More
For the prediction of one variable’s value(dependent variable) through other variables (independent variables) some models are used that are called regression models. For further calculating… Read More
Regression analysis is a statistical tool to estimate the relationship between two or more variables. There is always one response variable and one or more… 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
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

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