IEEE

Analysis of Neural Network Algorithm in Comparison to Multiple Linear Regression and Random Forest Algorithm

Abstract: Regression analysis, a stalwart in statistical methodology, offers a robust framework for predicting outcomes based on historical data. It hinges on the premise that by scrutinizing past ...
Scientific Research Publishing

A Prediction Model for Estimating Egg Hatch Rate for Ghanaian Farmers Using Machine Learning ()

Department of Computer Science, Department of Cyber Security and Computer Engineering Technology, School of Computing and Information Sciences, C. K. Tedam University of Technology and Applied ...
Hosted on MSN

Linear Regression In Python From Scratch | Simply Explained

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...
Frontiers

Using short-read 16S rRNA sequencing of multiple variable regions to generate high-quality results to a species level

Introduction: Short-read amplicon sequencing studies have typically focused on 1-2 variable regions of the 16S rRNA gene. Species-level resolution is limited in these studies, as each variable region ...
Scientific Research Publishing

Evaluations of Machine Learning Algorithms Using Simulation Study ()

1st cases of COVID-19 were reported in March 2020 in Bangladesh and rapidly increased daily. So many steps were taken by the Bangladesh government to reduce the outbreak of COVID-19, such as masks, ...
GitHub

Multiple Linear Regression in Statsmodels

This lesson will be more of a code-along, where you'll walk through a multiple linear regression model using both statsmodels and scikit-learn. Recall the initial regression model presented. It ...