In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

Abstract: This paper focuses on the global temperature trends and factors affecting the temperature by using regression model and ARIMA Model. This paper visualizes and analyzes the data by plotting a ...

When it comes to fashion models, the body diversity revolution appears to be at an end. By Vanessa Friedman Earlier this month, I was standing backstage at the Schiaparelli show in Paris talking to ...

There are numerous ways to run large language models such as DeepSeek, Claude or Meta's Llama locally on your laptop, including Ollama and Modular's Max platform. But if you want to fully control the ...

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 ...

Hello beautiful people! Hope that 2025 is treating you well, even though it’s been buggy for me, so far. Welcome to the Doodles and Programming blog and today we’re going to build: A sentiment ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI Before running the Python code, ensure your local LLM system is up and running. Most ...

ABSTRACT: The energy sector is the second largest emitter of greenhouse (GHG) gases in Kenya, emitting about 31.2% of GHG emissions in the country. The aim of this study was to model Kenya’s GHG ...

Abstract: This paper employs the ARIMA model and LSTM model to forecast and compare the occurrence of extremely hot weather in the region, respectively. Addressing ...