Data cleaning is an essential step in any machine learning project, especially for regression analysis. Regression analysis is a statistical method that models the relationship between a dependent ...

The total lake volumes for the methods ranged from 1,180,000- and 1,200,000-hectare meters. We also investigated machine learning models for estimating the individual lake volumes and found they ...

Automating the regression log analysis, binning, triage, and RCA greatly reduces manual effort. RDA starts by collecting data from the regression run, including simulation log files, value change dump ...

In this repository, a regression analysis is conducted using different machine learning models. The study is led on the prediction of median value of owner-occupied homes, from the Boston house ...

Linear Regression Cost function in Machine Learning is "error" representation between actual value and model predictions. To minimize the error, we need to minimize the Linear Regression Cost ...

This video is a one stop shop for understanding What is linear regression in machine learning. Linear regression in machine learning is considered as the basis or foundation in machine learning ...

Machine learning has become extremely popular in recent years due to its ability to train models to deal with complex task. Machine learning (ML) algorithms are one of the fundamentals behind ...

In the context of the Battery Management System (BMS) of an Electric Vehicle (EV), accurately predicting the terminal voltage of the battery is of utmost importance. However, this prediction model is ...