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Tag Archives: Regression

In this article, we will discuss the overview of the Markov theorem and also will discuss the expression of the Markov theorem, and finally concluded with an… Read More
High Leverage Point: A data point is considered to be a High Leverage Point if it has extreme predictor input value. An extreme input value… Read More
Prerequisite: NumPy  Consider a data set,Attention reader! Don’t stop learning now. Get hold of all the important DSA concepts with the DSA Self Paced Course… Read More
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 RegressionLogistic regression is the type of regression analysis used to find the probability of a certain event occurring. It is the best… 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 of fit… 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 modeling the relationship between a dependent… Read More