IEEE

PrivESD: A Privacy-Preserving Cloud-Edge Collaborative Logistic Regression Model Over Encrypted Streaming Data

Abstract: Outsourcing logistic regression classification services to the cloud is highly beneficial for streaming data. However, it raises critical privacy concerns for the input data and the training ...
Hosted on MSN

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 Scratch. We will not use any build in models, but we will understand the code ...
Scientific Research Publishing

Gate (2025) Harnessing Advanced NLP Techniques: Empirical Study on Automated Text Summarization via spaCy Word Embeddings and Cosine Similarity.

ABSTRACT: This paper examines the extent to which competencies taught in Congolese universities match the skills required by the labour market. Using official curricula from the Ministry of Higher and ...
Frontiers

Explainable AI for suicide risk detection: gender- and age-specific patterns from real-time crisis chats

Suicide remains a leading cause of death worldwide, yet conventional risk models based on static demographic or diagnostic factors show limited predictive value. Advances in explainable artificial ...
ahajournals.org

Abstract 4366027: Hypertension Diagnosis Correlates with Psychological Distress Symptoms, Marital Status, and Insurance Status

These were split into categories and their correlation with hypertension in this cohort was assessed using multivariate logistic regression. Python with libraries Numpy, Pandas, Scipy, Statsmodels, ...
IEEE

Emotion Classification in Song Lyrics: Comparing Logistic Regression, DistilBERT, and Ensemble Models with TF-IDF and Word2Vec Features

Abstract: Classifying emotions from song lyrics can be an interesting discussion in natural language processing (NLP) due to the subjectivity of language and the ambiguity of emotional expression.
Scientific Research Publishing

Genkin, A., Lewis, D.D. and Madigan, D. (2007) Large-Scale Bayesian Logistic Regression for Text Categorization. Technometrics, 49, 291-304.

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
GitHub

pH-7/Python-GLM-ML-Pipeline

. ├── app/ # FastAPI application ├── train/ # Training scripts ├── assets/images/ # Images, diagrams ├── requirements.txt # Python dependencies ├── Dockerfile ├── .env.dist # Sample environment ...