https://github.com/diegoperea20/clean-dataset-jsonlines

clean dataset jsonlines about store and sales with objective of create all needed transformations in order to get a clean dataset with the required features to train a machine learning model that predicts if a product is new or used.
https://github.com/diegoperea20/clean-dataset-jsonlines

csv ipynb jsonlines notebook python

Last synced: about 16 hours ago
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clean dataset jsonlines about store and sales with objective of create all needed transformations in order to get a clean dataset with the required features to train a machine learning model that predicts if a product is new or used.

• Host: GitHub
• URL: https://github.com/diegoperea20/clean-dataset-jsonlines
• Owner: diegoperea20
• Created: 2025-03-08T02:02:40.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2025-03-08T02:09:40.000Z (7 months ago)
• Last Synced: 2025-03-08T03:18:41.338Z (7 months ago)
• Topics: csv, ipynb, jsonlines, notebook, python
• Language: Jupyter Notebook
• Homepage:
• Size: 785 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Clean dataset jsonlines



The jsonlines dataset is from an E-commerce company, which have several information

about available products on the store.





In the ipynb is differents shapes of do transformations in order to get a clean dataset with the required features to train a machine learning model that predicts if a product is new or used.





The file data_clean.csv is the result of clean dataset jsonlines