- This is a return forecasting data science work to predict the future oil price with many different features ranging from marco economical data to industry information.
- All external data is provided in the link under
External Data.txtbut the imtermediate data are ignored, however one should still be able to reproduce the results by following the workflow. - Step1 to Step7 Jupyter notebook provide code and presenation.
- Project summary is the report of this research including explaination and visualization on key ideas.
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Construct workable datasets from web data and applied various machine learning methods to predict future oil price
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