Machine Learning algorithms from-scratch implementation. It covers most Supervised and Unsupervised algorithms. Homework assignments and Projects for graduate level Machine Learning Course taught by Dr Manfred Huber at UTA during Spring 21

A bot that provides soccer predictions using Poisson regression

Machine Learning From Scratch

Course XCS229i in Machine Learning from Stanford University

Generic implementation for Generalized Linear Models including Logistic, Poisson and Ordinal Regression for Classification purposes

Visualize the predicted weather related delays of US domestic flights. See the linked video for a 3 minute whirlwind tour of the app:

Norm Constrained Generalised Linear Model using numpy, numba and scipy.

This project contains the data and code used in the paper: Denter, Nils M.; Aaldering, Lukas Jan; Caferoglu, Huseyin (2022): Forecasting future bigrams and promising patents: Introducing text-based link prediction. In Foresight ahead-of-print (ahead-of-print). DOI: doi.org/10.1108/fs-03-2021-0078.

Models for estimating football (soccer) team-strength

Benchopt benchmark for GLMs

Statistical investigation of how sandwich components affect ant attraction, based on a full factorial design with ANOVA and Poisson regression.

Extended Elo rating system implementation based on the equivalence with logistic regression.

This repository contains implementations of advanced regression methods, including ordinary least squares, Poisson regression, and locally weighted regression. It also explores bias-variance decomposition for regularized mean estimators. The analysis is conducted on the Capital Bikesharing dataset using Python.