Hacker

How to Get Responses From Local LLM Models With Python

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...
Scientific Research Publishing

Comparative Analysis of ARIMA and NNAR Models for Time Series Forecasting ()

This paper presents a comparative study of ARIMA and Neural Network AutoRegressive (NNAR) models for time series forecasting. The study focuses on simulated data generated using ARIMA(1, 1, 0) and ...
IEEE

Intelligent Sales Forecasting System Using Arima, Sarima, and Xgboost Models

Abstract: Sales forecasting plays a pivotal role in predicting future revenue by estimating product or service volumes within a specified time frame. Accurate sales forecasting drives strategic ...
IEEE

Predicting Pre-Order Sales Using Time Series Algorithm, Forecasting, and ARIMA Model in ...

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 ...
The New York Times

I Was a Nude Model for a Half Hour. Revelatory? Actually, Yes.

Two shows — an art fair in Brooklyn and an Yves Klein exhibition uptown — ask if nude art can still inspire or shock. I joined in to find out. By Rachel Sherman Before last week, I had never ...
Scientific Research Publishing

Building the ARIMA Model for Forecasting the Production of Vietnam’s Coffee Export ()

1 Faculty of Technology and Data Science, Foreign Trade University, Hanoi, Vietnam. 2 School of Economics and International Business, Foreign Trade University, Hanoi, Vietnam. Coffee is a significant ...
GitHub

arima-models

This software was designed with the purpose of anomaly detection and correction for time series water sensor data. This software was developed using the Logan River Observatory data set. This ...