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Parent(s):
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feat: copy to hf from https://github.com/LeoBorai/amazon-product-reviews-classification
Browse files- .gitattributes +35 -0
- .gitignore +1 -0
- README.md +17 -8
- datasets/datasets.tar +3 -0
- notebooks/model.pkl +3 -0
- notebooks/sentiment-analysis.ipynb +0 -0
- requirements.txt +2 -8
.gitattributes
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.gitignore
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.DS_Store
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.ipynb_checkpoints
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.DS_Store
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.ipynb_checkpoints
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/datasets/reviews.csv
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README.md
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<div>
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<h1 align="center">
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<h4 align="center">
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</div>
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## Motivation
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Spin up Machine Learning projects with ease, avoiding a virtual environment
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setup by using Docker, extending compatibility for collaboration by having
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a operative system agnostic environment.
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## Run Locally
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Build an run containers using `docker compose`
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---
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title: amazon-reviews-classification
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emoji: 🐠
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colorFrom: gray
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colorTo: purple
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sdk: gradio
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sdk_version: 5.20.1
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app_file: app.py
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pinned: false
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license: mit
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short_description: Applying Reviews Classification using Logistic Regression
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---
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<div>
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<h1 align="center">Amazon Product Reviews Classification</h1>
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<h4 align="center">
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Performing Sentiment Analysis on Amazon Product Reviews using Logistic Regression
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</h4>
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</div>
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## Run Locally
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Build an run containers using `docker compose`
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datasets/datasets.tar
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version https://git-lfs.github.com/spec/v1
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oid sha256:fe750dd600d4a9a64eb62cead6f8587d46b2452d206f5d0a203f6067d75c74de
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size 18391040
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notebooks/model.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:64c1f22cd029c52ae1f13a7d1fdc92e50f2a7cfd62a5b5060c640be813479ff4
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size 211065
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notebooks/sentiment-analysis.ipynb
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The diff for this file is too large to render.
See raw diff
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requirements.txt
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h5py == 3.10.0
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jupyter == 1.0.0
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matplotlib == 3.8.4
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notebook == 7.1.2
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numpy == 1.26.4
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pandas == 2.2.
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pillow == 10.3.0
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scikit-learn == 1.4.0
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seaborn == 0.13.2
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spacy == 3.7.4
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tensorflow == 2.16.1
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jupyter == 1.0.0
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langdetect == 1.0.9
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notebook == 7.1.2
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numpy == 1.26.4
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pandas == 2.2.3
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scikit-learn == 1.4.0
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