Nonlinear Regression: Estimating Hand-to-Camera Distance This project implements a quadratic nonlinear regression model to estimate the real-world distance between a hand and a camera based on the ...

During this study foresee the loan knowledge by utilizing machine learning algorithms that area unit logistical regression. Loan prediction is an extremely basic life issue that every genuine bank ...

Sparse logistic regression (SLR), which is widely used for classification and feature selection in many fields, such as neural networks, deep learning, and bioinformatics, is the classical logistic ...

This project implements logistic regression from scratch to classify students into Hogwarts houses based on their academic data. It includes data preprocessing, training the model, making predictions, ...