Linear regression in Python with Scikit-learn (With examples, …
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What Is Linear Regression?Linear Regression AssumptionsInstalling scikit-learnModels Provided by scikit-learnScikit-learn Modeling ProcessLinear RegressionBuilding A Simple Linear Regression Model with scikit-learnComplete Code For The Simple Linear RegressionMulticollinearity in Regression AnalysisDummy Variables and Dummy Variable TrapDummy variables Dummy variablesTypically in linear regression, we carry out linear regression with numeric data. Numeric data is easy to handle for linear regression. However, sometimes we may use categorical data as predictor variables to make predictions, for example, Gender(male, female). Categorical data ca… Dummy variable trapA dummy variable trap is a scenario where we have highly correlated attributes(Multicollinear), and one variable predicts the value of other variables. The number of dummies we have to create equals K-1, where K represents the number of different values the categorical variable can take…
Dummy variablesTypically in linear regression, we carry out linear regression with numeric data. Numeric data is easy to handle for linear regression. However, sometimes we may use categorical data as predictor variables to make predictions, for example, Gender(male, female). Categorical data ca…
Dummy variable trapA dummy variable trap is a scenario where we have highly correlated attributes(Multicollinear), and one variable predicts the value of other variables. The number of dummies we have to create equals K-1, where K represents the number of different values the categorical variable can take…
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