The demand for gold never ends. The gold rate trend shows that gold is one of the best investment plans. So it is wise to predict the trend of the gold rate. Different statistical models can be used for suitable modeling and prediction of data. This project summarizes the idea of gold rate prediction using the machine learning. It is always visible that the price of gold follows a nonlinear nature. The prediction of prices is commanding for the proper financial and investment plans. The gold rate fluctuation can be modeled as an exponential curve. The dataset collected from the World Gold Council is used and results have shown that the proposed architecture is one of the best financial forecasting methods.
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