A spam email detector using a Random Forest classifier and TF-IDF to achieve 97.3% accuracy. This end-to-end NLP project includes a Tkinter GUI for real-time predictions.
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Updated
Mar 10, 2025 - Python
A spam email detector using a Random Forest classifier and TF-IDF to achieve 97.3% accuracy. This end-to-end NLP project includes a Tkinter GUI for real-time predictions.
Using Python and Tableau, I created a report of borrowers who may have issues paying back the loan to Blue Bank.
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