Noise- and Outlier-Robust Fourier Transform with Hermite Functions in NumPy
-
Updated
Jul 26, 2024 - Python
Noise- and Outlier-Robust Fourier Transform with Hermite Functions in NumPy
Fuel efficiency prediction model using different linear regression types. Based on Mileage Per Gallon (MPG) dataset.
Estimating Origin-Destination (OD) matrix for a transportation network by maximizing Entropy and minimizing Least-Square Error
This is a repository for CS4ML. It is a general framework for active learning in regression problems. It approximates a target function arising from general types of data, rather than pointwise samples.
NUMERICAL METHODS FOR SCIENTIST AND ENGINEERS With Pseudocodes
Transdimensional Predictive Least Squares for Online Feature Selection
Spring/Summer 2024 Research : Socio-Economic effects on COVID-19 Mortality Rates
Fit-o-mat - a versatile program for nonlinear least-squares fitting
Transdimensional Predictive Least Squares for Online Feature Selection
Herramienta que automatiza cálculos de regresión lineal y genera informes.
Robust locally weighted multiple regression in Python
ML Project implementing linear, polynomial, logistic, least squares, lasso, ridge regression techniques from scratch, for classification.
KCL and KVL for the bridge circuit
KCL and KVL for the bridge circuit
Machine learning library for symbolic fitting: the unknown system/function is described via NARMAX algebraic expressions being linear combinations of arbitrary non-linear terms provided by the user (like 0.2x²+0.7sin(x) or x[k-1]*y[k-4]^2).
Fitting data using a polynomial obtained by the Least Squares Method
Explore Python implementations of predictive modeling techniques like F-test, t-test, ANOVA, linear square estimation, autocorrelation, and least squares in this practical-driven GitHub repository
This project is an implementation of various machine learning algorithms (regression, classification, clustering, etc.).
Time Series Regression with Python
Add a description, image, and links to the least-square-regression topic page so that developers can more easily learn about it.
To associate your repository with the least-square-regression topic, visit your repo's landing page and select "manage topics."