rstanarm R package for Bayesian applied regression modeling

BAyesian Model-Building Interface (Bambi) in Python.

an R package for structural equation modeling and more

Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models

An R package for Bayesian structural equation modeling

Basic statistical modelling examples.

Simple statistical prediction of the survival chances of the passengers in the testing set, given certain conditions as input. Refer to README.md for more detail

Recursive Partitioning for Structural Equation Models

Code and resources to serve as a starting point for data science projects.

農研機構統計研修「ベイズ統計モデリングとMCMC」

We present here a 1D convolutional neural network model to predict grain protein content using spectroscopic data of multiple cereals

The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation" via Pytorch

MATH-342 Time Series course taken at EPFL during Spring 17-18.

rstanarm R package for Bayesian applied regression modeling

A collection of scripts used for modeling global daily maximum surges

2022-11_brainhack_DetecSpikMotifs: Automatic detection of spiking motifs in neurobiological data. This project aims to develop a method for the automated detection of repeating spiking motifs, possibly noisy, in ongoing activity.

A Survey on ML Techniques for Airbnb Price Prediction

A new way to analyse computer mouse trajectories

OCaml Random Forests