High performance Python GLMs with all the features!

Python implementation of elastic-net regularized generalized linear models

Feature selection method based on repeated elastic net.

Neural Network approaches for the Traveling Salesman Problem

転職サイトから、年収の条件を明らかにし、良さげな条件とは何かを明らかにします

A Python package which implements the Elastic Net using the (accelerated) proximal gradient method.

AI model used to predict Bitcoin closing price over 1-minute intervals

This toolbox offers 7 machine learning methods for regression problems.

Molecular-property prediction with sparsity

A novel deep polygenic neural network for predicting and identifying yield-associated SNPs in Indonesian rice accessions.

Simple and flexible classical ML module that can be used for recording baseline ML performance.

Provides support for making predictions of binary outcomes based on natural language corpora. Formally, creates predictive models using Logistic Regression with Elastic Net Regularization on topic models derived from Latent Dirichlet Allocation.

I compare the accuracy of health cost prediction of four regression models: Linear, Lasso, Ridge, and Elastic Net Regression.