Abstract: A revolutionary area of artificial intelligence called machine learning enables computers to learn from data and forecast without the need for explicit programming. A key component of ...

School of Computing and Engineering, University of West, London, UK. In recent years, inflation has been a worrying factor for every country, which has become particularly high due to various ...

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 ...

In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model. This can be a ...

Since this part of the course focuses on simple linear regression, you want to check for any linear relationships among variables in the dataframe. You can do this by creating scatterplots using any ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...

Abstract: This paper presents an analysis of product sales and pricing based on a multi-linear regression model and time series forecasting algorithm. Initially, historical sales prices are considered ...

Leaf area index (LAI) of alfalfa is a crucial indicator of its growth status and a predictor of yield. The LAI of alfalfa is influenced by environmental factors, and the limitations of non-linear ...

Liver fibrosis is a progressive and potentially reversible condition that results from chronic liver damage, which can be caused by a variety of factors, including metabolic dysfunction-associated ...