Logistic Regression

TensorFlow BookJupyter Notebook

Official code repository for the 'Machine Learning with TensorFlow' book with practical examples.

Terry Um’s TensorFlow ExercisesJupyter Notebook

A collection of TensorFlow practice exercises covering fundamental machine learning concepts from linear regression to CNNs.

CellTypistPython

An automated cell type annotation tool for single-cell RNA-seq data using logistic regression classifiers.

liblinear-javaJava

A Java port of LIBLINEAR for large-scale regularized linear classification, regression, and outlier detection.

go-mlGo

A Go library implementing essential machine learning algorithms including linear regression, logistic regression, and neural networks.

scorecardR

An R package for developing traditional credit risk scorecard models with functions for data preprocessing, WOE binning, variable selection, and performance evaluation.

scorubyRuby

A Ruby gem for scoring predictive models using PMML, supporting decision trees, naive Bayes, logistic regression, random forests, and gradient boosted trees.

Learning.jsJavaScript

A JavaScript library implementing logistic regression and C4.5 decision tree algorithms for machine learning in the browser and Node.js.

RegressionJulia

A Julia package providing algorithms for regression analysis via regularized empirical risk minimization.

JSMLTJavaScript

An open-source JavaScript library implementing machine learning algorithms for educational purposes with interactive visualizations.

statsample-glmRuby

A Ruby library providing Generalized Linear Models (GLM) including Poisson, Logistic, Probit, and Normal regression.