2021 Fall term, CSE 701 Project 03
-
Updated
Dec 21, 2021 - C++
2021 Fall term, CSE 701 Project 03
A database management system and calculator for any IoT logged data files inputted into the program. The data log files will contain data of water levels, temperature and humidity of nodes. A linear regression calculator also calculates if the regression equation should change based on percent error calculations using real measures of water leve…
Linear regression and gradient descent in C++17
Finding linear equations coefficients using least squares method
This is a Machine Learning repository, with some files in C++ to address some of the common problems faced when implementing Machine Learning. I will use Docker to put C++ applications on production.
The worst AI library you could find...
Linear Regression, Perceptron using C++. Repository for machine learning.
Numerical Methods: "Life Expectancy & Linear Regression" Group Project - 2nd Semester 2021 - Computer Science, UBA
Implementation of Linear Regression (OLS)
Incremental Sparse Spectrum Gaussian Process Regression
A model for linear and logistic regression made from scratch including a library designed to handle matrix operations and another one to handle files. When tested with the MNIST data set the logistic regression had 85% success rate.
From linear regression towards neural networks...
A simple linear regression model and CSV parser.
C ++ machine learning algorithm implementations.C++机器学习算法实现。
an open-source machine learning library Cosan for C++ which provides a data mining, data analytics and predictive analytics framework. It implements a selected range of simple and efficient data processing procedures and machine learning algorithms and is designed to interoperate with C++ scientific computing library Eigen.
Practice of Linear Regression
A simple Linear regression project for nvices, which entire written in C plus plus ,with no external library 纯C++实现的一个简单的线性回归网络
Classes taken at Missouri S&T
lightgbmのfeature-transform(特徴量の非線形化)をすることで、80,000を超える特徴量を線形回帰でも表現できることを示します
Add a description, image, and links to the linear-regression topic page so that developers can more easily learn about it.
To associate your repository with the linear-regression topic, visit your repo's landing page and select "manage topics."