GitHub topics: sgdclassifier

Repositories

andreas-pattichis/ML-for-RNA-Seq-Disease-Classification-and-Biomarker-Discovery

This project develops a machine learning model to classify individuals as healthy, having rheumatoid arthritis (RA), or systemic lupus erythematosus (SLE) using RNA-Seq gene expression data. The project also identifies significant genes as potential biomarkers, leveraging SGDClassifier and XGBoost models.

Language: Jupyter Notebook - Size: 2.27 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

lruizap/mnist-classifier-analysis

This project performs analysis and experimentation with classifiers in Python using the MNIST dataset, which consists of images of handwritten digits.

Language: Jupyter Notebook - Size: 169 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

AloRay/CREDIT-CARD-FRAUD

This project focuses on building a fraud detection model for credit card transactions using a dataset containing transactions made by European cardholders in September 2013. We are working with a highly unbalanced dataset and the challenge lies in effectively detecting fraudulent transactions while minimizing false positives.

Language: Jupyter Notebook - Size: 529 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

vishant-mehta/Hate-Speech-Detection

The implications of hate speech have received considerable attention from the common public and society as a whole. There has been a rising concern over the effects of hate speech and offensive language. However, much of this attention is focused on the critical presentation and evaluation of arguments in favor of and against the ban on hate speech, as opposed to previous conceptual analysis tasks. The general concept of hate speech goes beyond legal texts and sentences, in fact, it goes beyond the legal definition of hate speech. The analysis is done using many well-known conceptual analysis methods that are different from analytic philosophy. The main motive of this analysis is to dispel the myth that evil emotions and malicious rationale are a fundamental part of the nature of human beings.

Language: Jupyter Notebook - Size: 40.6 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 1