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Abhishek-Mallick / universal-box

Project scaffolding just got easier — streamline your development with Universal-Box's pre-built templates and one-click deployment! 🚀
https://universal-box.dev
Apache License 2.0
28 stars 26 forks source link

Made the Spam Classification Model #166

Closed AdarshRout closed 4 weeks ago

AdarshRout commented 4 weeks ago

Description

This pull request introduces a Spam Email Classification App built using Streamlit. The app leverages a pre-trained machine learning model to accurately classify emails as spam or not based on various input parameters such as email subject, sender address, email body, and other metadata.

Fixes # (issue)

Type of Change

Please delete options that are not relevant.

Checklist

Additional Notes

Please check the README.md inside it to understand how to run the app.

Summary by CodeRabbit

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universal-box ✅ Ready (Inspect) Visit Preview 💬 Add feedback Oct 24, 2024 7:37pm
coderabbitai[bot] commented 4 weeks ago

Walkthrough

The changes introduce several new files and modifications to the Spam Email Classification project. A .gitignore file is added to exclude specific directories and files from version control. A README.md file is created to provide an overview of the application, its functionality, installation instructions, and usage guidelines. A requirements.txt file is included to specify necessary dependencies for the project. Additionally, a streamlit_app.py file is implemented to create a Streamlit application for classifying spam emails. Lastly, a documentation file, Spam-Classification.md, is added for further clarification.

Changes

File Path Change Summary
template/Data-Science/Classification/Spam Email Classification/.gitignore Added entries to ignore venv/, Model/model.pkl, and Model/spam_vectorizer.pkl.
template/Data-Science/Classification/Spam Email Classification/README.md New file providing an overview of the application, installation instructions, usage details, and project structure.
template/Data-Science/Classification/Spam Email Classification/requirements.txt New file listing dependencies: numpy, pandas, scikit-learn, joblib, streamlit.
template/Data-Science/Classification/Spam Email Classification/streamlit_app.py New file implementing a Streamlit app for spam email classification, including model loading and prediction functionality.
website/content/Templates/Data-Science/Prediction/Classification/Spam-Classification.md New documentation file outlining the application's purpose, installation, usage, and project structure.

Possibly related PRs

🐇 In the land of code where bunnies play,
New files hop in to brighten the day.
A README to guide, a model to train,
With spam detection, we’ll surely gain!
So let’s code away, with joy and delight,
In the world of data, everything feels right! 🌟

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