Fast Best-Subset Selection Library
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Updated
Dec 6, 2025 - C++
Fast Best-Subset Selection Library
BAS R package for Bayesian Model Averaging and Variable Selection
🎓 Tidy tools for academics
Poisson pseudo-likelihood regression with multiple levels of fixed effects
Regression Models for Epidemiology
R material for LSHTM's Advanced Statistical Methods in Epidemiology (ASME) practical sessions
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
Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈
A 30+ node flowchart for selecting the right statistical test for evaluating experimental data.
A bot that provides soccer predictions using Poisson regression
Bayesian Statistics with R [Gibbs Sampling, Metrapolis Hastings, Regression, Logistic Regression, Poisson Regression, Multi Factor Anova, Hierarchical Modelling, Mixture Models]
Machine Learning From Scratch
Course XCS229i in Machine Learning from Stanford University
Trying different regression models on Life Expectancy dataset.
Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis
Visualize the predicted weather related delays of US domestic flights. See the linked video for a 3 minute whirlwind tour of the app:
Generic implementation for Generalized Linear Models including Logistic, Poisson and Ordinal Regression for Classification purposes
Norm Constrained Generalised Linear Model using numpy, numba and scipy.
A small Poisson regression implementation
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