statistical-modeling

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

machine-learning linear-regression machine-learning-algorithms statistical-methods regression time-series-analysis arima-model sales-forecasting statistical-modeling exponential-smoothing holt-winters time-series-decomposition sarima ets-model

UpdatedDec 30, 2019
Jupyter Notebook

Mooseburger1 /Springboard-Data-Science-Immersive

Star63

python nlp opencv data-science deep-neural-networks sql deep-learning hadoop tensorflow eda pyspark web-scraping statistical-analysis statistical-inference tensorboard convolutional-neural-networks h5 time-series-analysis statistical-modeling time-series-prediction

UpdatedAug 23, 2018
Jupyter Notebook

Protik49 /Probabilistic-Time-Series-Forecasting

Star43

Learn about Probabilistic Time Series Forecasting, its key techniques, real-world applications, and advantages over traditional forecasting methods.

time-series forecasting tsf probabilistic-programming predictive-modeling uncertainty-estimation bayesian-statistics probabilistic-models statistical-modeling time-series-forecasting forecasting-algorithm forecasting-time-series

UpdatedMar 10, 2025

mrtkp9993 /Statistical-Modeling-Examples

Sponsor

Star42

Basic statistical modelling examples.

python pandas python3 seaborn statistical-analysis statistical-inference r-markdown matplotlib r-language stan regression-models anova r-programming pystan statistical-modeling regression-analysis analysis-of-variance

UpdatedJun 17, 2024
R

shangqigao /BayeSeg

Star40

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

image-segmentation variational-inference image-decomposition bayesian-deep-learning cardiac-segmentation statistical-modeling model-generalization

UpdatedNov 29, 2022
Python

jessecambon /Data-Science-Sandbox

Star22

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

python nlp data-science machine-learning r statistics data-visualization geospatial-analysis statistical-modeling

UpdatedSep 28, 2021
Jupyter Notebook

brandmaier /semtree

Star20

Recursive Partitioning for Structural Equation Models

cran r forest bigdata randomforest multivariate sem decision-tree structural-equation-modeling statistical-modeling recursive-partitioning structural-equation-models

UpdatedDec 11, 2025
R

AmirhosseinHonardoust /Synthetic-Data-Artist

Star18

A professional, research-grade comparison of Gaussian Copula and Variational Autoencoder (VAE) methods for synthetic tabular data generation. Includes full evaluation pipeline with distribution overlap, correlation analysis, PCA projections, pairplots, metrics, and automated visual reports.

python data-science machine-learning deep-learning simulation scikit-learn tabular-data data-visualization pytorch generative-model pca vae research-project data-privacy copula data-augmentation synthetic-data probabilistic-model statistical-modeling correlation-analysis

UpdatedNov 11, 2025
Python

ito4303 /naro_toukei

Star17

農研機構統計研修「ベイズ統計モデリングとMCMC」

stan mcmc jags bayesian-statistics statistical-modeling

UpdatedOct 23, 2024
TeX

adamavip /nirs-protein-prediction

Star14

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

machine-learning deep-learning auto-ml nirs statistical-modeling plant-breeding plant-phenotyping

UpdatedApr 7, 2022
Jupyter Notebook

UnixJunkie /orf

Star8

OCaml Random Forests

machine-learning regression ocaml-library classification bagging random-forests statistical-modeling out-of-bag bootstrap-aggregation

UpdatedJan 10, 2023
OCaml

mcdonohue /rstanarm

Star6

rstanarm R package for Bayesian applied regression modeling

r bayesian-methods rstan bayesian multilevel-models bayesian-inference stan r-package rstanarm bayesian-data-analysis bayesian-statistics statistical-modeling ltjmm latent-time-joint-mixed-models

UpdatedJan 21, 2024
R

avakanski /Rehabilitation-Assessment-through-Dimensionality-Reduction-and-Statistical-Modeling

Star6

An autoencoder neural network and a Gaussian mixture model are used for generating movement quality scores for rehabilitation exercises.

dimensionality-reduction statistical-modeling movement-modeling physical-rehabilitation

UpdatedMar 2, 2020
Jupyter Notebook

tungakantarci /Simulation-Methods-in-Econometrics-Theory-and-Applications-in-MATLAB

Star6

Simulation Methods in Econometrics: Theory and Applications in MATLAB is an open-source textbook that aims to bridge the gap between econometric theory and the practical use of simulation techniques. It emphasizes intuition, reproducibility, and accessibility.