Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable ...

This paper investigates the performance of the four supervised machine learning algorithms: logistic regression, support vector machine, decision tree, and random forest on the highly imbalanced ULB ...

This project presents a comparative analysis of various machine learning (ML) and deep learning (DL ... Compare performance of multiple classification algorithms. Address high dimensionality and class ...

Accuracy Scores,Business,Classification Maps,Classification Model,Customer Complaints,Customer Loyalty,Customer Retention,Customer Service,Deep Learning,Document ...

This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques ...

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