Build a model that classifies issues and resolution data and provide recommendation

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#1

Question/Issue:
I have data set that involves text and numeric characters in most of the column but getting the following message even after going through the CSV wizard.

Uploading 1 file…
[1/1] Failed to upload Door_Issue (1).csv: Failed to parse CSV file: Row 1, column 10 should be numeric, but is not

Project ID:
[Provide the project ID]

Context/Use case:
I am trying to build a model that would read the data that contains text and numeric values and offer suggestion based on previous actions taken.

Steps Taken:

  1. [Step 1]
  2. [Step 2]
  3. [Step 3]

Expected Outcome:
be able to successfully upload data

Actual Outcome:
Uploading 1 file…
[1/1] Failed to upload Door_Issue (1).csv: Failed to parse CSV file: Row 1, column 10 should be numeric, but is not

Reproducibility:

  • [ ] Always
  • [ ] Sometimes
  • [ ] Rarely
#2

Hello @AkilanSakthi first of all welcome to the Edge Impulse community!

Could you please share more details related with your CSV? is the text data convertible into numbers (e.g. UP=1, DOWN=2, etc) or it’s more complex?

Feel free to share more information to try to help you more!

Thanks

#3

Its more complex. Its column of issues and what was performed to fix it in the next column(consist of text and numbers). I want to input multiple issues but i am trying to build a model that will provide a response to my problem based on prior resolution database.

1 Like
#4

Could you please share an example of your CSV to try to replicate @AkilanSakthi ?