non-linear-regression
There are 82 repositories under non-linear-regression topic.
gpufit/Gpufit
GPU-accelerated Levenberg-Marquardt curve fitting in CUDA
GeoscienceAustralia/HiQGA.jl
High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data
Pterodactylus/Ceres.js
Ceres.js is a javascript port of the Ceres solver. Ceres Solver is an open source C++ library for modeling and solving large, complicated optimization problems. It can be used to solve Non-linear Least Squares problems with bounds constraints and general unconstrained optimization problems. It is a mature, feature rich, and performant library.
ahmetozlu/nonlinear_regression_keras
Training of a neural network for nonlinear regression prediction with TensorFlow and Keras API.
ndrearu/curve_fit_utils
**curve_fit_utils** is a Python module containing useful tools for curve fitting
domsearson/gptips-2-0
Symbolic XAI explainable machine learning & non-linear regression platform for MATLAB
Eleobert/gsl-curve-fit
C++ wrapper of gsl non-linear least-squares fit.
TrainingByPackt/Practical-Machine-Learning-with-R
Define, build, and evaluate machine learning models for real-world applications
Escapist-007/ML_Projects
The projects are part of the graduate-level course CSE-574 : Introduction to Machine Learning [Spring 2019 @ UB_SUNY] . . . Course Instructor : Mingchen Gao (https://cse.buffalo.edu/~mgao8/)
SeyedMuhammadHosseinMousavi/ANFIS-Non-Linear-Regression-for-Average-Localization-Error-Dataset
ANFIS Non-Linear Regression for Average Localization Error Dataset
fchamroukhi/MEteorits
Mixtures-of-ExperTs modEling for cOmplex and non-noRmal dIsTributionS
igormcoelho/optstats
A C++ header-only library for useful tools on optimization, statistics and curve fitting
JonasVasconcelos/FiShiny
Shiny interface for growth model fit
SamirWagle/Non-Linear-Regressione-Using-Machine-Learning
Machine Learning project. Implementation of different linear and non linear regression and finding out which one is best for us
sdeepak09/MTH686A-Non-linear-Regression-Projects
This is Repository in which I will upload projects done in MTH 686 A in IIT Kanpur . The course instructor is our favorite and respected Sir Debashis Kundu
airdipu/Data-Mining-using-R
This project is on Data Mining process using R depending on ISLR book.
amacaluso/Statistical_Learning
This repository is intended to provide a slideshow of classification models, with a focus on the statistical properties of each approach. Specifically, a wide variety of both linear and non-linear methods are adopted and then compared, ranging from Linear Probability Model and Logistic Regression to Quadratic Discriminant Analysis and Generalised Additive Models.
barslan16/high-school-analysis
Analysis of Public High Schools Admitting Students by Examination in Turkey
cgatama/Machine-Learning-with-Python
Machine Learning (ML) by using Python
jlbrosnahan/Predict-House-Prices
Regression problem predicting Boston house prices in RStudio
nathaneastwood/nlstimedist
Non-linear model fitting of time distribution of biological phenomena
Robby955/SAHeartDisease
Repo for the famous SA Heart Disease dataset. We demonstrate the importance of considering non-linear terms, and using splines in R.
worklifesg/Machine-Learning-IBM
This repository is on Machine Learning using Python 3.8.3 using Visual Studio Code. Most of the programs are from IBM Machine Learning course and some algorithms (course out of scope) are presenterd only for learning purpose. These codes will be on topics like Regression, Classification, Clustering and Recommender Systems.
a-memme/snapchat_correlation_analysis
Utilizing Python and R to perform statistical analyses on real-world snapchat performance data to discover how various metrics relate to viewership
AGhosh1200/HR-interviewee-salary-negotiation
Using various non-linear regression models the HR team of a company tries to predict whether the expected salary quoted by an interviewee is suitable for his position or not.
akashe/DeepLearningLibrary
This library gives a modular design for better control of gradient passing between architecture components. Useful for architectures not using a traditional forward and backward pass.
asen16/high-schools-analysis
Analysis of Public High Schools Admitting Students by Examination in Turkey
cainmagi/tensorflow-guide
A Chinese guide book for learning Tensorflow from a starter.
Chloekyuu/c11a1-Regression-Models
Explore linear regression models for predicting university admissions and implement a non-linear Radial Basis Function (RBF) regression model for image inpainting.
isadays/Supervised-ML
OLS. R and Python. In this project, we study fundamental concepts of Supervised ML models, such as Regression Analysis: Coefficient of Model Adjustment (R²), Parameters Estimation ,Statistical Significance of the Model (F test, T test) ,Multiple Regression , Qualitative Explanatory Variables (X) , heteroscedasticity and etc.
lfguevarag97/Thesis-MSC-2023
Documentación del trabajo de investigación de Tesis de Maestría - Luis Felipe Guevara Gómez
Prashant812/Abalone-Age
Prediction of Abalone's age through its number of rings.
rafaelvilelasr/ENG1135---Projeto-de-Gradua-o-em-Engenharia-TCC-
Graduation Final Project on electrical engineering (PUC-Rio)
talisma-cassoma/The-method-of-least-squares-on-Matlab
it's a standard approach in regression analysis to approximate the solution of overdetermined systems (sets of equations in which there are more equations than unknowns)
tejal04/Machine-Learning-Practice
Implemented Traditional ML models for Regression and Classification using sklearn.