Skip to content

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

Notifications You must be signed in to change notification settings

Guoliang2019/Oil-Price-Modeling-with-Machine-Learning-Methods

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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.

About

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

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published