Fast Best-Subset Selection Library
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Updated
Jun 16, 2024 - C++
Fast Best-Subset Selection Library
🎓 Tidy tools for academics
Poisson pseudo-likelihood regression with multiple levels of fixed effects
Models for estimating football (soccer) team-strength
A bot that provides soccer predictions using Poisson regression
FAST Change Point Detection in R
Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis
Quick Guide for Modelling Count Data in A Multilevel Framework
R material for LSHTM's Advanced Statistical Methods in Epidemiology (ASME) practical sessions
A 30+ node flowchart for selecting the right statistical test for evaluating experimental data.
Bayesian Statistics with R [Gibbs Sampling, Metrapolis Hastings, Regression, Logistic Regression, Poisson Regression, Multi Factor Anova, Hierarchical Modelling, Mixture Models]
Machine Learning From Scratch
Trying different regression models on Life Expectancy dataset.
These are the R scripts used to calculate the model coefficients for the Android application.
A small Poisson regression implementation
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.
Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈
A comparison between Poisson regression, quasi-Poisson regression, and negative binomial regression for overdispersed count data.
Norm Constrained Generalised Linear Model using numpy, numba and scipy.
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
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