Accurate crop yield prediction is vital for optimizing agricultural practices and ensuring food security. This study proposes an optimized XGBoost-based algorithm leveraging time series forecasting to ...

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

Recent advancements in FTS analysis have addressed various challenges such as modeling long-range dependence [11], developing predictive methods for high-dimensional data [12], and incorporating ...

About Forecast Bitcoin prices using a mix of statistical modeling and modern ML — including Linear Regression, XGBoost, and Prophet — all wrapped in a Streamlit dashboard for rapid experimentation and ...