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What is Gold Price Prediction Using Ensemble Based Machine Learning Techniques about?

The study investigates the relationship between gold prices and various economic factors using machine learning techniques over two periods from January 2000 to December 2018. It employs linear regression, random forest regression, and gradient boosting regression to analyze the data, finding strong correlations in the first period and weaker correlations in the second. The results suggest that while gold has become an attractive investment, its price volatility raises concerns about sustainability.

Author

231fa04e30.py.sec18

Language

EN