Published Paper Details:

The yellow metal is all time favorite for everyone from the history to till date. Most of the exchange of commodities will happen through this yellow metal or gold. Any country economics is evaluated by the gold available in the reserve bank and even the common man keeps the gold as security purpose and uses as a ornament. The high demand of gold across the global made the gold rate changes very frequently. To invest in the gold the common man or any organizations need to check for its low value and then invest. The predication of gold rate depends on various attribute. This review paper gives a peek into the various predication methods its advantages and limitations which can be used by any one before investing. The data science and machine learning approaches to anticipate the price of gold. We review historical gold price data and create and assess forecasting models using this data. We examine the information to find significant patterns and correlations that can be utilized to forecast gold prices in the future. We assess different machine learning models' reliability and accuracy in predicting gold prices. We outline the findings of our model evaluation and go over the implications for predicting gold prices. Finally, we evaluate our study's shortcomings and make suggestions for further research.