Used a Supervised Machine Learning model
Project overview:
-> Prediction of gold prices
Preprocessing of the dataset:
-> Checking and removal of null values
-> Knowing some of the statistical measures
-> Visualizing the data
-> Correlation
-> Splitting the dataset
-> Training the data
-> Predicting the output of new data
-> Evaluation of the model
Project Conclusion:
Done EDA on the dataset and used Random Forest Regressor to train the data. predicted the output on new data, found model fits well on the dataset.