documents to understand theory
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- Jupyter Notebook
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Description
Is there any reference material to read the theory behinds models used in EconML. For example, https://github.com/microsoft/EconML/blob/master/notebooks/Double%20Machine%20Learning%20Examples.ipynb model used in item # 4 uses to random forest - is there a reference to understand the theory behind these models. Thanks
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with notebooks/Double Machine Learning Examples.ipynb, especially item 4 and its use of random forest. Research and add references explaining the theory behind the models used in the notebook, with the documentation considered complete when readers have relevant material to study.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100