A compilation of Data Structures in Python. It is a collection of Python code examples and implementations of various data structures. This repository aims to provide a comprehensive resource for understanding and utilizing different data structures efficiently in Python.
Logistic regression is a supervised machine learning algorithm mainly used for classification tasks where the goal is to predict the probability that an instance of belonging to a given class. It is used for classification algorithms its name is logistic regression. it’s referred to as regression because it takes the output of the linear regression function as input and uses a sigmoid function to estimate the probability for the given class. PLease assign this to me under hacktoberfest tag
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Logistic regression is a supervised machine learning algorithm mainly used for classification tasks where the goal is to predict the probability that an instance of belonging to a given class. It is used for classification algorithms its name is logistic regression. it’s referred to as regression because it takes the output of the linear regression function as input and uses a sigmoid function to estimate the probability for the given class. PLease assign this to me under hacktoberfest tag
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