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Midterm peer review #73

@ksyselena1

Description

@ksyselena1

This project is about predicting number of bikes per stations that are rented for the specified stationer a specific hour
I liked:

  • Good description of dataset and dealing with missing/corrupted data
  • I liked that you explained choices for features
  • Good visualizations that explain choices
  • Good explanations from modeling

Improvement areas:

  • It would be great if we could see some visualizations/graphs for the regression modeling part
  • The last paragraph in the results from regression modeling section was confusing because there wasn’t much interpretation done
  • In the future plan, I don’t see how you will progress from this to actually predict the number of books per stations.

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