Models for estimating football (soccer) team-strength
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Updated
Oct 19, 2021 - Python
Models for estimating football (soccer) team-strength
A bot that provides soccer predictions using Poisson regression
Machine Learning From Scratch
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.
Course XCS229i in Machine Learning from Stanford University
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
Norm Constrained Generalised Linear Model using numpy, numba and scipy.
Generic implementation for Generalized Linear Models including Logistic, Poisson and Ordinal Regression for Classification purposes
Benchopt benchmark for GLMs
Statistical investigation of how sandwich components affect ant attraction, based on a full factorial design with ANOVA and Poisson regression. Developed for TU Dortmund MSc Data Science application.
Visualize the predicted weather related delays of US domestic flights. See the linked video for a 3 minute whirlwind tour of the app:
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.
Extended Elo rating system implementation based on the equivalence with logistic regression.
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