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lasso regression

A Complete understanding of LASSO Regression

Contributed by: Dinesh Kumar Introduction LASSO regression, also known as L1 regularization, is a popular technique used in statistical modeling and machine learning to estimate the relationships between variables and make predictions. LASSO stands for Least Absolute Shrinkage and Selection Operator. The primary goal of LASSO regression is to find a balance between model simplicity […]

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Linear Regression for Beginners

A Guide to Linear Regression in Machine Learning – 2024

What is Linear Regression? Linear Regression is the basic form of regression analysis. It assumes that there is a linear relationship between the dependent variable and the predictor(s). In regression, we try to calculate the best fit line, which describes the relationship between the predictors and predictive/dependent variables. There are four assumptions associated with a

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regression

What is Regression? Definition of Regression [Updated] 2024

Contributed by: Prashanth Ashok Regression is defined as a statistical method that helps us to analyze and understand the relationship between two or more variables of interest. The process that is adapted to perform regression analysis helps to understand which factors are important, which factors can be ignored, and how they are influencing each other.

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logistic regression

Logistic Regression With Examples in Python and R

In every algorithm of machine learning, there is an approach that is unique yet easily interpretable. Logistic regression is one such algorithm with an easy and unique approach. It is very often used in the credit and risk industry for its easy intuition on predicting the chances of default and risk cases. It is indeed

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