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 ...

Fortinet acknowledged in its advisory that a "practical exploit code for this vulnerability was found in the wild," but did not share any additional specifics about the nature of the exploit and where ...

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

Confusion matrix for Logistic Regression classifier, showing strong recall for Lithium responders but notable confusion between Anticonvulsant and Non-responder classes. Random Forest Performance: The ...

Diabetic retinopathy (DR) is an insidious ocular complication, with its initial stages being asymptomatic; therefore, accurate detection at an early stage is required to prevent severe complications.

Wild fire is a serious environmental and socioeconomic menace and therefore any effort aimed at the early and accurate detection of wild fire has to be very useful. This paper proposes a novel machine ...

People are using AI to write sensitive messages to loved ones. Detecting AI-generated text is becoming more difficult as chatbots evolve. Some tech leaders have promoted this use of AI in their ...

PXA Stealer infects 4,000+ IPs, stealing 200K passwords via Telegram, affecting users and firms globally.