RezaSaadatyar / Time-Series-Analysis-in-Python Star 12 Code Issues Pull requests This repository contains Python functions for predicting time series. linear-regression prediction lstm decision-trees arima-model random-forest-regression xgboost-regression autocorrelation-function autoregressive-model least-squares-regression autoregressive-exogenous-model Updated May 24, 2024 Python
Sm00thix / CVMatrix Star 2 Code Issues Pull requests Computation of training set (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm (2024). fast algorithm linear-regression least-squares pca principal-component-analysis linear-models partial-least-squares-regression pls partial-least-squares plsda plsr least-squares-regression Updated Jul 25, 2024 Python
ctpeterson / SwissFit Star 1 Code Issues Pull requests General-purpose library for fitting models to data with correlated Gaussian-distributed noise machine-learning optimization regression bayesian-methods least-squares fitting parameter-estimation maximum-a-posteriori-estimation bayesian-neural-networks surrogate-based-optimization empirical-bayes fitting-curve least-squares-regression Updated Jul 21, 2024 Python