Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS

Bitcoin price prediction algorithm using bayesian regression techniques

Insurance cost predictor

Bayesian learning and inference with WebPPL.

Global Horizontal Irradiance Analysis using Support Vector Regression and Bayesian Ridge Regression

This is the implementation of the five regression methods Least Square (LS), Regularized Least Square (RLS), LASSO, Robust Regression (RR) and Bayesian Regression (BR).

Bitcoin price prediction algorithm using bayesian regression techniques

Predicting Bitcoin Price Variations using Bayesian Regression

The project analyses the impact of different marketing tactics on the sales of items. The problem is a multivariate-modeling problem as there are 3 different tactics of marketing. Since, the impact of marketing medium cannot be negative we will be using Bayesian model for regression.

Bayesian Regression Modeling of Layered Archives

UQ methods for DL

Complementary repository with data and code for Wolf & Tollefsen, 2021.

Bayesian Regression of Latent Source Modelling for Predicting Price Variation of Bitcoin

This repository contains the raw data and R scripts for "Quantification of an Adverse Outcome Pathway network by Bayesian regression and Bayesian network modeling" by Moe et al. 2020, Integr Environ Assess Manag, doi:10.1002/ieam.4348.

Bayesian Regression with automatic regularization or variable selection

Bayesian Statistics

DataScienceOverHood

Projects, etc.

It is a machine learning project that predict smart watch price. Dataset is created manually from ecommerce site.

Making use of bayesian learning, three common applications are developed.