In this notebook, we will discover and explore data from the Gold Market. We will learn how to use pandas_profiling to get Full Report and info about ou Gold Dataset, and visualize different aspects of it using Seaborn and Matplotlib. we will look at a few ways of analyzing Correlation, based on its previous performance history.
We will also be predicting future Gold prices through a Random Forest Regresor! With (0.99 accuracy score)
We used Streamlit to create web app to display our Data and accuracy performance