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Time Forecaster A lightweight Python library for time series forecasting using state-of-the-art language models. This library provides a simple interface to load, preprocess, predict, and evaluate ...

Abstract: The increasing demand for accurate energy consumption forecasting has spurred a surge of interest in leveraging advanced machine learning techniques. This project focuses on the application ...

Abstract: Forecasting stock market volatility presents significant challenges and opportunities for both practitioners and researchers in the financial sector. This paper explores the application of ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now In the wake of the disruptive debut of ...

First, we install three essential libraries: BeautifulSoup4 for parsing HTML content, ipywidgets for creating interactive elements, and pandas for data manipulation and analysis. Running it in your ...

1 College of Design, Creative and Digital Industries, University of Westminster, London, United Kingdom 2 School of Computing, Informatics Institute of Technology, Colombo, Sri Lanka The advancement ...

This project aims to develop a predictive model for forecasting the next day's closing price of a stock using historical financial data. Two models were implemented: LSTM (Long Short-Term Memory) - A ...