https://github.com/manisharora96/gold-price-prediction-ensemble-method

In this project would forecast gold rates using the most comprehensive set of features and would apply various machine learning algorithms for forecasting and compare their results. We also identify the attributes that highly influence the gold rates.
https://github.com/manisharora96/gold-price-prediction-ensemble-method

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In this project would forecast gold rates using the most comprehensive set of features and would apply various machine learning algorithms for forecasting and compare their results. We also identify the attributes that highly influence the gold rates.

• Host: GitHub
• URL: https://github.com/manisharora96/gold-price-prediction-ensemble-method
• Owner: manisharora96
• Created: 2023-09-24T14:29:26.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-09-24T14:31:49.000Z (over 1 year ago)
• Last Synced: 2024-06-29T15:01:10.245Z (7 months ago)
• Language: Jupyter Notebook
• Size: 17.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Gold-Price-Prediction-Ensemble-Method

Historically, gold had been used as a form of currency in various parts of the world including USA. In present times, precious metals like gold are held with central banks of all countries to guarantee re-payment of foreign debts, and also to control inflation which results in reflecting the financial strength of the country.

Forecasting rise and fall in the daily gold rates, can help investors to decide when to buy (or sell) the commodity.

We in this project would forecast gold rates using the most comprehensive set of features and would apply various machine learning algorithm for forecasting and compare their results. We also identify the attributes that highly influence the gold rates.