/Oil-Price-Modeling-with-Machine-Learning-Methods

Construct workable datasets from web data and applied various machine learning methods to predict future oil price

Primary LanguageJupyter Notebook

Oil Price Modeling with Machine Learning Method

  • 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.txt but 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.