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Tag Archives: Regression

The Dummy Regressor is a kind of Regressor that gives prediction based on simple strategies without paying any attention to the input Data. As similar… Read More
LOESS or LOWESS are non-parametric regression methods that combine multiple regression models in a k-nearest-neighbor-based meta-model. LOESS combines much of the simplicity of linear least… Read More
Prerequisite: Understanding Logistic Regression Logistic regression is the type of regression analysis used to find the probability of a certain event occurring. It is the… Read More
Making fast and accurate decisions are vital these days and especially now when the world is facing such a phenomenon as COVID-19, therefore, counting on… Read More
Prerequisites: Logistic Regression Getting Started With Keras: Deep learning is one of the major subfields of machine learning framework. It is supported by various libraries… Read More
Prerequisite : Linear Regression, R-square in Regression Why Adjusted-R Square Test: R-square test is used to determine the goodness of fit in regression analysis. Goodness… Read More
R-squared is a statistical measure that represents the goodness of fit of a regression model. The ideal value for r-square is 1. The closer the… Read More
Linear Regression: It is the basic and commonly used type for predictive analysis. It is a statistical approach to modelling the relationship between a dependent… Read More