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Build logistic regression in Python from scratch easily

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...
Nature

Genetic Programming and Symbolic Regression Techniques

Genetic programming (GP) represents a class of evolutionary algorithms that automates the creation of computer programmes to solve complex problems. Coupled with symbolic regression (SR), which aims ...
GitHub

A simple vignette demonstrating binary logistic regression in R using the UCI Heart Disease dataset.

Vignette on implementing logistic regression in R using the UCI Heart Disease dataset; created for final assignment for PSTAT197A in Fall 2025. This vignette introduces logistic regression for binary ...
Harvard Business School

Stable Matchings, Optimal Assignments, and Linear Programming

Roth, A. E., U. G. Rothblum, and J. H. Vande Vate. "Stable Matchings, Optimal Assignments, and Linear Programming." Mathematics of Operations Research 18, no. 4 ...
GitHub

This is a repository of DirectedWeightedGraph as part of an assignment in Ariel University

In this assignment we are expected to construct and implement solutions to known problems in the subject of Graphs, specifically Directed and Weighted graphs (see links at the end of the readme), and ...