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Build logistic regression in Python from scratch easily

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from ...
GitHub

D-FINE: Redefine Regression Task of DETRs as Fine‑grained Distribution Refinement

If you like D-FINE, please give us a ⭐! Your support motivates us to keep improving! D-FINE is a powerful real-time object detector that redefines the bounding box regression task in DETRs as ...
IEEE

Diabetes Prediction using Logistic Regression and Support Vector Machine (SVM) Classifier

Abstract: Early detection and diagnosis of diabetes are crucial for managing and treating the disease effectively. Diabetes is a chronic condition characterized by the body’s inability to produce ...
IEEE

Uzbek Public-Sector Text Classification: Naive Bayes, Logistic Regression and SVM Benchmarks

Abstract: The authors present an algorithm for classifying Uzbek-language documents in key public sector domains, including economics, legal texts, healthcare, housing and utilities, and energy. The ...
Frontiers

Retrieving interpretability to support vector machine regression models in dynamic system identification

Interpretability of Support Vector Machine (SVM) or Neural Networks (NN) models, examples of black-box models, is a field of study that has recently gained attention, especially for the significant ...
C&EN

Machine Learning Models for Prediction of Xenobiotic Chemicals with High Propensity to Transfer into Human Milk

Get article recommendations from ACS based on references in your Mendeley library. Pair your accounts. Export articles to Mendeley Get article recommendations from ACS based on references in your ...