The significance of understanding public opinion on policy decisions is highlighted, particularly in the context of Nusantara. This study examines public sentiment toward relocating Indonesia's ...

In recent years, in order to alleviate the performance degradation problem caused by domain drift in scene classification (SC) tasks, some unsupervised domain adaptation (UDA) methods have been ...

Contribute to epsilonnotpstu/Gradient-Descent-for-logistic-regression---Classify-breast-cancer development by creating an account on GitHub.

By employing binary logistic regression to empirically investigate the interactive effects of these multifaceted factors on depressive symptomatology, this research seeks to provide valuable insights ...

Logistic Regression - Binary Classification Overview This project demonstrates binary classification using logistic regression on the breast cancer dataset from scikit-learn. The implementation ...