In this analysis ... forecast values by using different times series and regression, Machine Learning and ensemble algorithms. “To what extent the proposed decision integration strategy able to ...

Thus, several machine learning ... regression ones. Thus, it is necessary to apply intelligent data mining methods based on accurate forecasting models that can produce highly reliable results in ...

For example, you can use regression analysis to estimate how the sales of a product depend ... OLS is one among many linear models. Machine learning is a branch of artificial intelligence that ...

Abstract: Sales forecasting is crucial ... This study conducts a predictive analysis of retail sales using the Citadel POS dataset from 2013 to 2018. Various machine learning techniques, including ...

Regression analysis is a powerful statistical method that allows you to explore the relationship between one or more variables. It can help you understand how changes in one variable affect ...

The goal of this project is to forecast ... Finally, we use machine learning techniques like feature selection, logistic and linear regression to predict future sales and optimize business strategies.