This project implements a classification model using Logistic Regression to predict target values based on input features. The dataset is preprocessed using techniques such as feature scaling, and the ...

Logistic Regression from Scratch with Visualization and Model Evaluation 📜 Description This project demonstrates a comprehensive implementation of logistic regression using Python and NumPy. It ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

In the present medical era, Electrocardiography has been used to record heart activities for the basic visualization of various cardiac diseases. ECG signal properties analysis for effective ...

Azza Kamal Ahmed Abdelmajed, (2016) A Comparative Study of Locality Preserving Projection and Principle Component Analysis on Classification Performance Using Logistic Regression. Journal of Data ...

After data visualization, WBCD is considered to be linearly separable and the logistic regression model is proposed for classification in the diagnosis. The evaluation of our model is performed using ...