AI-Prediction-Model

Artificial Intelligence Project on regression model for prediction of gold prices.

Random Forest is an ensemble learning model useful for solving both regression and classification problems.

This supervised learning algorithm that uses ensemble learning method for regression. It operates using multiple decision trees and makes the final prediction using the bagging method.

COLAB File : https://github.com/Arpit-Sagar/AI-Prediction-Model/blob/main/Gold_Price_Prediction%20MODEL.ipynb

DATASET : Kaggle Gold price Dataset (2290 rows x 6 columns)

1. Date - mm/dd/yyyy
2. SPX - is a free-float weighted measurement stock market index of the 500 largest companies listed on stock exchanges in the United States.
3. GLD - Gold Price
4. USO - United States Oil Fund
5. SLV - Silver Price
6. EUR/USD - currency pair quotation of the Euro against the US Uploaded using pandas Library and used as a data frame

4 numerical features --> 98.9 per cent accuracy as shown by R SQUARED ERROR