This project implements sorting algorithms and regression prediction in C programming language. The program computes each model using their respective mathematical formulas and compares the accuracy ...

Linear Regression The learning rate -- alpha -- is dynamically calculated in main.c. The speed of linear regression depending on the learning rate and number of iterations.

Some models, such as linear regression, are easily interpretable, but inflexible, in that they don't capture many real-world relationships accurately. Other models, such as neural networks, are quite ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Learn how to implement linear regression from scratch in C++ — a foundational machine learning algorithm made simple.

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 ...

Roughly, we will cover the following topics (some of them may be skipped depending on the time available). Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear ...

Symbolic Regression (SR): A method for discovering mathematical expressions that best fit a given dataset, often employing genetic programming to search for interpretable models.