Fast Best-Subset Selection Library
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Updated
Sep 14, 2024 - C++
Fast Best-Subset Selection Library
🎓 Tidy tools for academics
Poisson pseudo-likelihood regression with multiple levels of fixed effects
Regression Models for Epidemiology
A 30+ node flowchart for selecting the right statistical test for evaluating experimental data.
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
R material for LSHTM's Advanced Statistical Methods in Epidemiology (ASME) practical sessions
Machine Learning From Scratch
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]
Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈
Visualize the predicted weather related delays of US domestic flights. See the linked video for a 3 minute whirlwind tour of the app:
Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis
Generic implementation for Generalized Linear Models including Logistic, Poisson and Ordinal Regression for Classification purposes
Poisson regression in R - course notes
Stochastic modelling of urban travel demand
Norm Constrained Generalised Linear Model using numpy, numba and scipy.
FAST Change Point Detection in R
Trying different regression models on Life Expectancy dataset.
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