Linear Regression

Iris Classification using Logistic Regression

Logistic regression is the best regression approach to utilize when the dependent variable is dichotomous (binary). Like other regression studies, logistic regression is a predictive analysis. Logistic regression is a statistical approach for defining and explaining the relationship between one dependent binary variable and one or more independent variables that are nominal, ordinal, interval, or …

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How to work Dummy Variables in Linear Regression

In linear regression models, we employ the dummy variable strategy to build a model that can infer a link between features and the result. Dummy variables are categorical variables that we can introduce into a model, using the information provided within the existing dataset. The design and selection of these variables are considered components of feature …

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