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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 ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
IEEE

Reformulating Classification as Image-Class Matching for Class Incremental Learning

Abstract: Class incremental learning (CIL) sequentially increases the number of classes, which often leads to catastrophic forgetting when fine-tuning on new classes. Existing approaches typically ...
GitHub

Boosting Quantum Classifier Efficiency through Data Re-Uploading and Dual Cost Functions

¹School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, USA ²Center for Quantum and Technology, University of Oklahoma, Norman, OK 73019 USA Quantum machine learning ...
GitHub

Remove Python 3.7 .. 3.8 from project classifiers

Remove Python 3.7 .. 3.8 from project classifiers #1497 Open USSX-Hares opened on Jun 21 ...
IEEE

An Improved Binary Quadratic Discriminant Analysis Classifier by Using Robust Regularization

Abstract: In many real classification problems where a limited number of training samples is available, the linear classifiers based on discriminant analysis are unable to deliver accurate results.
Scientific Research Publishing

Random Forests Classifiers in Python. DataCamp Community.

ABSTRACT: Because of the increasing attention on environmental issues, especially air pollution, predicting whether a day is polluted or not is necessary to people’s health. In order to solve this ...