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Add examples to 16-homesale-forecasting.ipynb and 17-home-rental-prediction.ipynb on how various prediction queries could be implemented #1386

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in the Forecasting notebook (16-homesale-forecasting.ipynb): added a section on when to use forecasting or regression
In the Prediction notebook (17-home-rental-prediction.ipynb): added a section showing how various prediction queries (feature selection, cross-validation, data preprocessing) could be implemented in the context of the existing home rental price prediction example

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👋 Hello @smadarapu3, thanks for submitting a EVA DB PR 🙏 To allow your work to be integrated as seamlessly as possible, we advise you to:

  • ✅ Verify that your PR is up-to-date with georgia-tech-db/eva master branch. If your PR is behind you can update your code by clicking the 'Update branch' button or by running git pull and git merge master locally.
  • ✅ Verify that all EVA DB Continuous Integration (CI) checks are passing.
  • ✅ Reduce changes to the absolute minimum required for your bug fix or feature addition.

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