Automating Assumption Checks for Regression Models (Work in Progress, Currently Paused)

The project aimed to implement a digital processing algorithm of biomedical signals to estimate the chances of survival for patients admitted to the ICU. A classification model based on artificial intelligence was implemented to estimate the chances of survival.

Multi-Linear and Binary Logistic Regression in C.

Perusahaan The Look memiliki Karyawan sebanyak 8000++. Namun selama setahun terakhir tingkat produktivitas menurun. Untuk itu, HR ingin mengurangi rata-rata absensi staff perusahaan selama setahun maksimal 16 jam saja supaya dapat meningkatkan kontribusi , produktivitas, kedisiplinan staff perusahaan , serta meminimalisirkan kerugian pada perusa…

Logistic Regression is a supervised learning algorithm that is used when the target variable is categorical. In Logistic Regression the target variable is categorical where we have to strict the range of predicted values. Consider a classification problem, where we need to classify whether an email is a spam or not. So we have to predict either …

Welcome to the Logistic Regression Repository! This repository aims to provide a comprehensive collection of resources and code examples for logistic regression, a powerful statistical technique used for modeling and predicting categorical outcomes.

first business data analysis - factors affecting student satisfaction and bank clients

My Business Analytics Projects

A collection of academic projects from my time at the University of Algiers 1, covering social network analysis, data visualization, formal languages, binary logistic regression, and statistical analysis. This repository excludes Machine Learning projects, which are available in a separate repo.