Global Horizontal Irradiance Analysis using Support Vector Regression and Bayesian Ridge Regression
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Updated
Aug 16, 2023 - Python
Global Horizontal Irradiance Analysis using Support Vector Regression and Bayesian Ridge Regression
Predicting Bitcoin Price Variations using Bayesian 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).
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 of Latent Source Modelling for Predicting Price Variation of Bitcoin
A machine learning pipeline for predicting Bitcoin closing prices using time series data. Includes four models, grid search, and neural network using Keras. Prints predictions and best parameters/scores.
code for performing Bayesian ARD regression, where covariates have groups
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