reinforcement-learning tensorflow linear-regression xgboost artificial-neural-networks logistic-regression recommender-system regularization gradient-descent tree-ensemble kmeans-clustering ...

In order to improve the accuracy of construction project cost budget, based on the previous research, this paper introduces the multiple linear analysis method, constructs a regression model, and uses ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

In order to predict the dynamic output of an oilfield, some relevant factors with oil output are chosen on the basis of actual manufacture experience. The forecast model of linear regression analysis ...

A bioavailability estimation approach based on the multiple linear regression model was used to derive water quality criteria for lead, combining accuracy and transparency.

This repository contains the Lab practices of Machine Learning performed in Jupyter Notebook using python language. This repo consists of Simple and Multiple Linear regression models to perform ...

A comparison between this maximum-likelihood linear regression method for Poisson data and two alternative methods often used for the regression of count data—the ordinary least–square regression and ...

The prediction results are based on model which is obtained in this dissertation. After comparing the multiple linear regression and the grey prediction model, the researcher found the algorithm of ...

ABSTRACT: Based on application of Linear Regression Model in national economy. Statistical Yearbook of China is a statistical data book published by China. Some different types of data in China have ...