sibylhe/mmm_stan

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

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panditanvita/BTCpredictor

Bitcoin price prediction algorithm using bayesian regression techniques

Language: Matlab - Size: 364 KB - Last synced at: 21 days ago - Pushed at: over 7 years ago - Stars: 324 - Forks: 116

techshot25/HealthCare

Insurance cost predictor

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ameya98/WebPPL

Bayesian learning and inference with WebPPL.

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shahriar-rahman/GHI-Assessment-using-SVR-and-BRR

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

Language: Python - Size: 5.93 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 4

Aminoid/bitcoin-prediction

Predicting Bitcoin Price Variations using Bayesian Regression

Language: Python - Size: 1.74 MB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 6 - Forks: 3

SourangshuGhosh/BitCoinPricepredictor

Bitcoin price prediction algorithm using bayesian regression techniques

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vincent27hugh/myRegression-Python

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

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eirikmn/bremla

Bayesian Regression Modeling of Layered Archives

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Alexander2424/modelling_SP500

Bayesian regression approach to build a model that predicts daily price change for S&P500 index using technical indicators (e.g., RSI, ADX, MACD) as input features.

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helloissac/bayesian-regression-bitcoin

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

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imnikhilanand/Bayesian-Marketing-Mix-Modeling

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.

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RaoulWolf/Bayesian-PEC-Modeling

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

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thomas861205/DL-HW1

Implement linear regression, logistic regression and Bayesian logistic regression

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m4siko/InfernoCalibNet

Calibrating neural networks with Bayesian nonparametric regression (Inferno) to quantify uncertainty and improve prediction reliability.

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ashish1610dhiman/UQ_deep_learning

UQ methods for DL

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acanacar/DataScienceOverHood

DataScienceOverHood

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RaoulWolf/Bayesian-Regressions-for-AOP-BN

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.

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hayato-n/BayesianRegressions

Bayesian Regression with automatic regularization or variable selection

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AdiPandya/Fast_Bayesian_Regression

Python script for performing fast Bayesian linear regression

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AmmarRashed/Hierarchical-Bayesian-Regression

Implementation of Hierarchical, Pooled, and Separate Bayesian Regression models for blood pressure prediction using Pulse Arrival Time (PAT) measurements in Julia

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SantiagoEnriqueGA/custom_linear_learning

This repository focuses on building linear regression algorithms from scratch using only Numpy for faster array processing.

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afairless/bayesian_quantile_multitask_nn

Mixing, matching, and comparing Bayesian models, quantile regression, and multi-task learning

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mobeets/group-ARD

code for performing Bayesian ARD regression, where covariates have groups

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chris-kelly/ds_blog

Data Science Blog

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sfansaria/Machine-Learning

ols_regression, Simple_Linear_Regression,univariate_Polynomial_Regression,Bayesian_Regression

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cb-g/PAI

Language: Python - Size: 4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

JINHXu/soundInventoryPopulation

Bayesian regression analysis in Social Science: population size vs. sound inventory size (Moran et al., 2012)

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ion-bueno/bayesian-learning

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

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wmkouw/bayesreg-chebyshev

Bayesian regression with Chebyshev polynomials

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techshot25/GraduateAdmissions

Looking at the probability of being accepted in a graduate program using a machine learning model

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