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GitHub / Y-Srivaishnavi / spam-mail-detector
This project uses Streamlit to run a simple Logistic Regression ML model to classify mail content (only text, not the sender or attachments) as spam or not spam. The model itself is built using scikit-learn modules, and is imported to the interface using pickle module..
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Y-Srivaishnavi%2Fspam-mail-detector
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Python
Repo Size: 132 KB
Dependencies:
3
Created: about 1 year ago
Updated: 7 months ago
Last pushed: about 1 year ago
Last synced: 7 months ago
Topics: logistic-regression, machine-learning, pandas, pickle, scikit-learn, spam-detection, streamlit
Files
Dependencies
- pandas ==1.5.3
- scikit-learn ==1.2.2
- streamlit ==1.20.0