Bitcoin price prediction algorithm using bayesian regression techniques
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Updated
Jan 7, 2018 - MATLAB
Bitcoin price prediction algorithm using bayesian regression techniques
Predicting Bitcoin Price Variations using Bayesian Regression
Looking at the probability of being accepted in a graduate program using a machine learning model
Insurance cost predictor
This is the implementation of the five regression methods Least Square (LS), Regularized Least Square (RLS), LASSO, Robust Regression (RR) and Bayesian Regression (BR).
Bayesian learning and inference with WebPPL.
Predict customer credit card defaults for next month. Keywords: R, logic regression, decision tree
Bitcoin price prediction algorithm using bayesian regression techniques
Bayesian Regression with automatic regularization or variable selection
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.
Complementary repository with data and code for Wolf & Tollefsen, 2021.
Projects, etc.
Bayesian regression with Chebyshev polynomials
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
DataScienceOverHood
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.
Making use of bayesian learning, three common applications are developed.
Bayesian Regression of Latent Source Modelling for Predicting Price Variation of Bitcoin
Bayesian Statistics
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