Classify these invoice data into different types and get a cleaner data for further study.
An invoice is an essential record of everyday transactions. Whether we purchase a coffee, a cigarette, or a cake to celebrate a friend's birthday, the list of items on an invoice can often be ambiguous and difficult to interpret. It is crucial, however, to have a clear understanding of the products or services we buy and the corresponding amounts we pay for them. To address this issue, I am eager to explore methods for accurately labeling invoice data. By categorizing invoice data, we can gain valuable insights into customer behaviors and market trends, allowing us to develop more effective business strategies.
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Create a database for storage of 2 million invoice data
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Classified 40000 unique items in one day with distributed system
- Python
- MSSQL
- Excel
- Selenium
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Multiprocessing 
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Pandas 
| Numpy 
- Work flow
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The folder of display code has the entire process of workflow.
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Read more on my Medium：Classify Invoice Data Using Selenium