Spam E-Mail Detection System
Production-grade spam classifier with a modular ingestion → transformation → training pipeline — compares SVM, Logistic Regression, and Random Forest, supports batch MBOX archives, and ships with an interactive Streamlit UI.
What you get
- Source Code
- Trained Model
- Dataset
- Documentation
- PPT
This project is pre-built — delivered within 24 hours of confirmation.
How it works.
Common questions about ordering, delivery, and support.
More from Data Science Projects.
View all
Student Performance Prediction — End-to-End ML Pipeline
A beginner-friendly end-to-end machine learning project that predicts student exam scores from demographic and study data — modular pipeline with data ingestion, transformation, model training (CatBoost/XGBoost), and a Flask web app for predictions.
Text Summarization with MLOps & Deployment
An end-to-end NLP project that fine-tunes a HuggingFace transformer to summarize dialogues — complete with configurable training pipeline, FastAPI serving, Docker, and CI/CD deployment via GitHub Actions.
Airbnb Price Prediction
Predicts fair Airbnb listing prices from location, property type, and market features — ensemble regression with XGBoost/CatBoost, a DVC-tracked training pipeline, and a Flask web app with Docker support.
ds-011
Spam E-Mail Detection System