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Integration:  dvc git github
Eric Hoanshelt f70cb5e722
Merge pull request #20 from ehoanshelt/model-fixing
8 months ago
1417c23119
added structure and DVC needs
8 months ago
00097abc99
Successfully build training and testing set
8 months ago
f8aee6d9fa
ComplementNB - model evaluated
8 months ago
41d954ebdc
model built and trained
8 months ago
35a663d1b9
Merge branch 'main' into check-unique-products-names
8 months ago
src
0a3718e8bd
improved the model by adding stop words
8 months ago
1417c23119
added structure and DVC needs
8 months ago
f03d0ff9fe
Initial commit
8 months ago
d92013e129
created EDA notebooks and update gitignore
8 months ago
1f5581763d
updated readme to include instruction
8 months ago
0a3718e8bd
improved the model by adding stop words
8 months ago
23f397788d
updated dvc.yaml
8 months ago
f8aee6d9fa
ComplementNB - model evaluated
8 months ago
efddc91a84
Update requirements.txt
8 months ago
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README.md

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Support Ticket Categorizer

This repo will showcase a NLP model that predicts ticket type based off of ticket content. This will use dagshub, DVC, github, and ML flow

Get Started

  1. Create a free account at https://dagshub.com/
  2. Clone the git repo locally
  3. Install DVC pip3 install dvc==2.58.2 & pip3 install dvc-s3
  4. Go to https://dagshub.com/ehoanshelt/Support-Ticket-Categorizer while logged in to your dagshub.com account, 3a. Click the Green Remote button 3b. Click "Data" at the top 3c. click DVC 3d. Run the bash script.
  5. Inside the main directory of the project, run dvc pull -r data/raw/. data/processed data/. data/training/. data/validation/.
  6. You will now have the full repo and all the data sitting in the dvc.
Tip!

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About

This repo will showcase a NLP model that predicts ticket type based off of ticket content. This will use dagshub, DVC, github, and ML flow

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