Learn how to use logistic regression to predict the probability of a binary outcome based on explanatory variables, and understand the assumptions and interpretations of the model.

Human Action Classification using Binary Logistic Regression with Custom Implementation This repository contains a custom implementation of a Logistic Regression model to classify human actions across ...

Logistic regression is a statistical method used to examine the relationship between a binary outcome variable and one or more explanatory variables. It is a special case of a regression model that ...

Welcome to the Logistic Regression Class Implementation project! 🎉 This project demonstrates how to build a custom logistic regression model from scratch to solve binary classification problems.

In this paper, we fitted the classical logistic regression model, and performed both parametric and non-parametric bootstrap for estimating confidence interval of parameters for logistic model and ...