Monthly consumption forecasting model for U.S. natural gas using SARIMAX with HDD and CDD as exogenous variables. I built this to establish what a consumption baseline looks like starting from scratch ...

Objectives To evaluate the impact of Japan’s COVID-19 state of emergency declarations on percutaneous coronary intervention (PCI) volumes using Seasonal AutoRegressive Integrated Moving Average with ...

If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.

Abstract: The article considers the problem of forecasting the volume of seasonal logistics transportation of fruits and vegetables using time series based on the seasonal autoregressive integrated ...

Note: RGBI is used as an exogenous variable. ***, ** and * indicate 1%, 5% and 10%; if “=>” is significant, then there is spillover from variable 1 to variable 2; if “<=” is significant, then there is ...

"This project aimed to compare various predictive tools on a large time series dataset and predict the future values. Due to this project’s nature, the solution needed to be scalable and fast in ...