FAST Change Point Detection in R

Fast Best-Subset Selection Library

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.

R package 'bpr' to perform posterior inference for Bayesian 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

A series of Statistical Modelling assignments with the use of R. Applications of Linear, Polynomial, Logistic and Poisson Regression in various datasets

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

Prototype models for FPL player performance predictions

Norm Constrained Generalised Linear Model using numpy, numba and scipy.

Poisson regression in R - course notes

Supervised Machine Learning algorithms for Regression in R and Python

Visualize the predicted weather related delays of US domestic flights. See the linked video for a 3 minute whirlwind tour of the app:

exploring machine learning feature engineering through Scikit-Learn Cookbook 3rd Ed. and scikitlearn documentation

A 30+ node flowchart for selecting the right statistical test for evaluating experimental data.

Course XCS229i in Machine Learning from Stanford University

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.

Predict near-term Capital Bikeshare availability using a random forest and Poisson regression. Display current status and predictions with leaflet.js map visualization.

Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈

Incidence rates of scorpion accidents in Urban Planning Areas of Americana/SP in 1998-2018