There are 1 repository under non-linear-regression topic.
High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data
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.
Training of a neural network for nonlinear regression prediction with TensorFlow and Keras API.
C++ wrapper of gsl non-linear least-squares fit.
**curve_fit_utils** is a Python module containing useful tools for curve fitting
Symbolic XAI explainable machine learning & non-linear regression platform for MATLAB
Mixtures-of-ExperTs modEling for cOmplex and non-noRmal dIsTributionS
ANFIS Non-Linear Regression for Average Localization Error Dataset
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/)
Shiny interface for growth model fit
Machine learning concepts implemented in python.
Define, build, and evaluate machine learning models for real-world applications
This project is on Data Mining process using R depending on ISLR book.
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.
Analysis of Public High Schools Admitting Students by Examination in Turkey
Machine Learning (ML) by using Python
A C++ header-only library for useful tools on optimization, statistics and curve fitting
Repo for the famous SA Heart Disease dataset. We demonstrate the importance of considering non-linear terms, and using splines in R.
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
Utilizing Python and R to perform statistical analyses on real-world snapchat performance data to discover how various metrics relate to viewership
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.
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.
Analysis of Public High Schools Admitting Students by Examination in Turkey
A Chinese guide book for learning Tensorflow from a starter.
Regression problem predicting Boston house prices in RStudio
My personal repository for all of my work for the Statistical Learning and Visualization course at UU in the fall of 2021.
Household-Power-Consumption Machine Learning Project
Non-linear model fitting of time distribution of biological phenomena
Graduation Final Project on electrical engineering (PUC-Rio)
Machine Learning project. Implementation of different linear and non linear regression and finding out which one is best for us
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)
Implemented Traditional ML models for Regression and Classification using sklearn.
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 simple bayesian approach to identifying the drivers behind A&E breaches, including occupied bed ratios.