Logistic Regression Python Packages

abess

Fast Best-Subset Selection Library

clogistic

Logistic regression with bound and linear constraints. L1, L2 and Elastic-Net regularization.

rlr

Regularized Logistic Regression

classicml

简单易用的经典机器学习框架

fukuml

Simple machine learning library / 簡單易用的機器學習套件

dominance-analysis

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

skorecard

scikit-learn compatible tools for building credit risk acceptance models

spkit

Signal Processing Toolkit, including ML models with visualization

stattools

Statistical learning and inference algorithms implemented in Python 3

nueramic-mathml

ML optimization on torch

ml-python

Easy to use high level python library for popular machine learning algorithms. Has in-built support for graphing and optimizers based in C++.

polynomial-regression-model

Python package that analyses the given datasets and comes up with the best regression representation with either the smallest polynomial degree possible, to be the most reliable without overfitting or other models such as exponentials and logarithms

classicml-python

简单易用的经典机器学习框架

mlektic

A Python ML library to use and visualize gradient descent for linear and logistic regression optimization.

fisher-scoring

A Python implementation of the Fisher Scoring algorithm for proportion and incidence rate modeling.

tno-fl-protocols-logistic-regression

TNO PET Lab - Federated Learning (FL) - Protocols - Logistic Regression

text-classification-baseline

Pipeline for fast building text classification TF-IDF + LogReg baselines.

pyfacy

Face Recognition with Machine Learning and Face Clustering

persian-sentiment-analyzer

This repository contains code and tools for sentiment analysis of Persian customer reviews and feedback. Using Natural Language Processing (NLP) techniques, this project helps you transform Persian customer reviews into interpretable data and gain valuable insights to enhance the shopping experience.

memento-scorecard

Scorecard development with Python

pytrain

Machinelearning library for python

turtles-glms

Python package for Generalized Linear Models

pythonpredictions-cobra

A Python package to build predictive linear and logistic regression models focused on performance and interpretation.

forestplotx

Publication-ready forest plots for regression model outputs in Python.