This project analyzes transaction data and generates forecasts using machine learning models like ARIMA, Prophet, and others. It outputs forecasted data, visualizations, and saved models for further ...

Abstract: The COVID-19 pandemic had a significant effect on worldwide financial markets, resulting in unparalleled instability and unpredictability. This study demonstrates the use of the ...

Abstract: Small businesses are vital to economic growth. However, they were among the most vulnerable to the pandemic and its impacts. Previous research has shown that the COVID-19 pandemic reduced ...

Time series Autoregressive Integrated Moving Average (ARIMA) model is often used in landslide prediction and forecasting. However, few conditions have been suggested for the application of ARIMA ...

Introduction: The price of crude oil as an essential commodity in the world economy shows a pattern and identifies the component factors that influence it in the short and long term. The long pattern ...

Harry Nugraha is a contributor from Indonesia. He is an anime addict first and a freelance writer second. He's been writing about anime and manga since 2020, and he loves to watch an unhealthy amount ...

I find it rare for a gun to possess intrinsic warmth, but the Colt Python 3-inch model reintroduced this year has just that. I don’t mean warmth produced by the combustion of smokeless powder—I mean a ...

1 Department of Statistics, Taiyuan University of Technology, Taiyuan, China. 2 Institute of Computer Science, University of Silesia in Katowice, Katowice, Poland. GDP is frequently used as a way of ...