Package provides javascript implementation of linear regression and logistic regression Install yarn add @kobra-dev/js-regression Usage Linear Regression The sample code below illustrates how to run the multiple linear regression (polynomial in this case): var jsregression = require('js-regression'); ...
Implementation of Univariate Linear Regression Aim: To implement univariate Linear Regression to fit a straight line using least squares. Equipment’s required: Hardware – PCs Anaconda – Python 3.7 Installation / Moodle-Code Runner Algorithm: Get the independent variable X and dependent variable Y. ...
As a result, you can only use regular computers or the cloud to run your ML models. The purpose of this work is to implement a linear regression-based machine learning model on a low-power microcontroller for use in IoT-based wearables for health prediction. 展开 ...
4.MULTIPLE LINEAR REGRESSION-ARTIFICIAL NEURAL NETWORK HYBRID MODEL FOR PREDICTING THE CRITICAL VOLUME OF PURE ORGANIC COMPOUNDS CAPABLE OF FORMING AN ARTIFICIAL NEURAL NETWORK OUTPUTTING THE CRITICAL VOLUME BASED ON THE VALUES OF MOLECULAR DESCRIPTORS CONTAINED IN A MULTIPLE LINEAR REGRESSION MODEL[P].外...
Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive strength of concrete Front. Struct. Civ. Eng., 11 (1) (2017), pp. 90-99, 10.1007/s11709-016-0363-9 View in ScopusGoogle Scholar Kumar Chandar, 2021 S. Kumar Chandar Grey Wolf optimiz...
Third, a multiple linear regression replicating the differential effect of the tutor conditions on reading fluency at T2 was conducted, controlling for the initial reading fluency at T1, as well as for the tutees’ family background and duration of tutoring. Fourth, a path-analytical model was ...
A multiple linear regression model was built to analyse independent associations between the level of HCFs, the type of HCFs, the presence or not of an IPC focal point in HCFs, the availability of IPC guidelines in HCFs, training of HWs and trends in IPC scores. This model included ...
Package provides javascript implementation of linear regression and logistic regression Install npm install js-regression Usage Linear Regression The sample code below illustrates how to run the multiple linear regression (polynomial in this case): ...
Golang implementation of JSON Web Tokens (JWT). Contribute to linearregression/jwt-go development by creating an account on GitHub.
For example, Wang, Fu, and He (Citation2011) investigated this method for predicting water quality variables, such as chemical oxygen demand, ammonia–nitrogen concentration, and permanganate index, from SPOT-5 data, and noted that SVR performed better than multiple linear regression. For the ...