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
R material for LSHTM's Advanced Statistical Methods in Epidemiology (ASME) practical sessions
Machine Learning From Scratch
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
Bayesian Statistics with R [Gibbs Sampling, Metrapolis Hastings, Regression, Logistic Regression, Poisson Regression, Multi Factor Anova, Hierarchical Modelling, Mixture Models]
A bot that provides soccer predictions using Poisson regression
Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈
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.
Stochastic modelling of urban travel demand
FAST Change Point Detection in R
Poisson regression in R - course notes
Trying different regression models on Life Expectancy dataset.
These are the R scripts used to calculate the model coefficients for the Android application.
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