There are 1 repository under poisson-regression topic.
Fast Best-Subset Selection Library
🎓 Tidy tools for academics
Poisson pseudo-likelihood regression with multiple levels of fixed effects
A bot that provides soccer predictions using Poisson regression
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.
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.
These are the R scripts used to calculate the model coefficients for the Android application.
A comparison between Poisson regression, quasi-Poisson regression, and negative binomial regression for overdispersed count data.
Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈
The project aims at using quasi-experimental designs to estimate the impact of policy reducing speed limits in major cities, on the number of road accidents. It is based on Bayesian hierarchical modelling and Poisson regression
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
Using the Poisson Regression Model and NB Regression Model to predict number of rental bikes.
:hash: R, Linear Regression, Inferences, Correlation Analysis, Diagnosis, Remedial Measures,, Multiple Linear Regression, Quantitative and Qualitative Predictors, Logistic Regression and Poisson Regression, FIFA 18 Players Wages Prediction, HR Attrition at IBM Prediction. :1234:
A series of Statistical Modelling assignments with the use of R. Applications of Linear, Polynomial, Logistic and Poisson Regression in various datasets
Solutions to data mining course homeworks.
Poisson regression in R - course notes
Course XCS229i in Machine Learning from Stanford University
Generic implementation for Generalized Linear Models including Logistic, Poisson and Ordinal Regression for Classification purposes
Entry-level looks at Exploratory Data Analysis (in R & Python) and Regression Models (in R)
Predict near-term Capital Bikeshare availability using a random forest and Poisson regression. Display current status and predictions with leaflet.js map visualization.
Benchopt benchmark for GLMs
Supervised Machine Learning algorithms for Regression in R and Python
Estimate the relationship between the number of bikes shared around the London network on a given day, depending on weather and other characteristics to predict the capacity needed to satisfy demand at any given point. Requires R and familiarity with non-linear regression models
This project aims to develop a Poisson regression model to predict the number of rings in a dataset. Poisson regression is a type of generalized linear model used for modeling count data, where the target variable represents the number of occurrences of an event within a given time or space. In this case, the target variable is the count of rings.