Abstract: Financial market forecasting in portfolio formation has increasingly drawn interest within machine learning due to its complex temporal dynamics and high volatility. While Convolutional ...

Abstract: The present work deals with the improvement of short-term wind energy forecasting techniques by combining time series decomposition techniques (Wavelet Transform) and Deep Learning recurrent ...

As one of the most popular, versatile, and beginner-friendly programming langauges, Python can be used for a variety of tasks from analyzing data to building websites. This workshop offers a gentle ...

Welcome to the 100 Days of Machine Learning Challenge, a comprehensive journey into the world of machine learning, tailored for a diverse audience including aspiring data scientists, professionals in ...

A PyTorch-based differentiable hydrological modeling framework for data-scarce basins, featuring the Xin'anjiang (XAJ) model with automatic calibration and evaluation tools. This repository contains ...