poisson-regression
There are 57 repositories under poisson-regression topic.
abess-team/abess
Fast Best-Subset Selection Library
mkearney/tidyversity
🎓 Tidy tools for academics
sergiocorreia/ppmlhdfe
Poisson pseudo-likelihood regression with multiple levels of fixed effects
Torvaney/mezzala
Models for estimating football (soccer) team-strength
doccstat/fastcpd
FAST Change Point Detection in R
umitkaanusta/MacTahminBotu
A bot that provides soccer predictions using Poisson regression
Mamba413/bess
Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis
fcorowe/countdata_modelling
Quick Guide for Modelling Count Data in A Multilevel Framework
andreamazzella/r4asme
R material for LSHTM's Advanced Statistical Methods in Epidemiology (ASME) practical sessions
itsayushthada/Bayesian-Statistics
Bayesian Statistics with R [Gibbs Sampling, Metrapolis Hastings, Regression, Logistic Regression, Poisson Regression, Multi Factor Anova, Hierarchical Modelling, Mixture Models]
pleonova/stat-tests
A 30+ node flowchart for selecting the right statistical test for evaluating experimental data.
alan-toledo/Machine-Learning-Algorithms
Machine Learning From Scratch
BatuhanSeremet/Life_Expectancy-Regression
Trying different regression models on Life Expectancy dataset.
nilsdenter/text_based_link_prediction
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.
VincentStimper/Soccer-Prediction-Model
These are the R scripts used to calculate the model coefficients for the Android application.
ximenasandoval/poisson_regression
A small Poisson regression implementation
paulinamoskwa/GLMs
Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈
ericka-howard/generalized_regression_models
A comparison between Poisson regression, quasi-Poisson regression, and negative binomial regression for overdispersed count data.
jcrichard/firls
Norm Constrained Generalised Linear Model using numpy, numba and scipy.
ligerfotis/CSE6363_Machine_Learning
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
StatisticsHealthEconomics/speed-limits
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
Ahmad-Magdy-Osman/AppliedStatistics
: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:
amoustakis/Statistical-Modeling-data-analysis
A series of Statistical Modelling assignments with the use of R. Applications of Linear, Polynomial, Logistic and Poisson Regression in various datasets
ellietoulabi/DataMiningCourseHomeworks
Solutions to data mining course homeworks.
JRigh/Poisson-Regression-in-R
Poisson regression in R - course notes
Jullemand/Stanford-Machine-Learning
Course XCS229i in Machine Learning from Stanford University
nehapai23/Bayesian-GLM-for-Classification
Generic implementation for Generalized Linear Models including Logistic, Poisson and Ordinal Regression for Classification purposes
perezrd5/Data-Science
Entry-level looks at Exploratory Data Analysis (in R & Python) and Regression Models (in R)
rkraig/cabi-predict
Predict near-term Capital Bikeshare availability using a random forest and Poisson regression. Display current status and predictions with leaflet.js map visualization.
tmcdonald92/Bike-Sharing-Prediction
Using the Poisson Regression Model and NB Regression Model to predict number of rental bikes.
JRigh/Supervised-ML-Regression-in-R-and-Python-
Supervised Machine Learning algorithms for Regression in R and Python
RileyJamesPatterson/watchurdelaydash
Visualize the predicted weather related delays of US domestic flights. See the linked video for a 3 minute whirlwind tour of the app:
StatisticsHealthEconomics/london-bikes
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
VasudevanS1906/Regression_with_Abalone
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.