There are 0 repository under regularized-logistic-regression topic.
Machine Learning Code Implementations in Python
In this project I tried to implement logistic regression and regularized logistic regression by my own and compare performance to sklearn model.
Solutions to Coursera's Intro to Machine Learning course in python
Online peer-to-peer (P2P) lending markets enable individual consumers to borrow from, and lend money to, one another directly. We study the borrower-, loan- and group- related determinants of performance predictability in an online P2P lending market by conceptualizing financial and social strength to predict borrower rate and whether the loan would be timely paid
A Mathematical Intuition behind Logistic Regression Algorithm
Base R Implementation of Logistic Regression from Scratch with Regularization, Laplace Approximation and more
Jupyter notebooks implementing Machine Learning algorithms in Scikit-learn and Python
Credit card fraud detection
Machine learning project on a given dataset, the goal was to compare several classification models and pick the best one for the given dataset
This are my solutions to the course Machine Learning from Coursera by Prof. Andrew Ng
Implementation of Regularised Logistic Regression Algorithm (Binary Classification only)
A tool for visualizing the coefficients of various regression models, taking into account empirical data distributions.
Ordinal Logistic Regression with ElasticNet Regularization using Multi-Assay Epigenomics Data from CHDI NeuroLINCS Consortium.