Email_Spam_Detection is a machine learning project that detects spam emails using a Random Forest model. Features a Flask backend (deployed via Render) and a simple HTML/CSS frontend. Easily deployable for both local and public use.
This multi-phase project identifies key satisfaction drivers and provides actionable insights to improve customer experience using statistical analysis and machine learning models, including logistic regression, decision trees, random forests, and XGBoost.
Add a description, image, and links to the random-forest-model topic page so that developers can more easily learn about it.
To associate your repository with the random-forest-model topic, visit your repo's landing page and select "manage topics."