Email Spam Detector

Spam has been a major concern given the offensive content of messages, spam is a waste of time. End user is at risk of deleting legitimate mail by mistake. Moreover, spam also impacted the economical which led some countries to adopt legislation.

This is a Machine Learning Application to classify Emails as Spam or Ham.

Here are the tools which used in this application -

Tools and Their Categories

1. Data Processing & Manipulation:

• Pandas – Data analysis and manipulation.
• NumPy – Numerical computing and array operations.
• Pickle – Object serialization and deserialization.

2. Natural Language Processing (NLP):

• NLTK – Text preprocessing and linguistic analysis.

3. Machine Learning:

• Scikit-learn – Machine learning algorithms and model evaluation.
• Joblib – Model persistence and efficient computation.

4. Data Visualization:

• Altair – Declarative statistical visualization.
• PyDeck – 3D geospatial data visualization.
• Pillow – Image processing.

5. Utilities & Supporting Tools:

• GitPython – Git repository interaction.
• JSONSchema – JSON validation.
• Protobuf – Data serialization.
• PyArrow – Columnar data format support.

Here's the live website

https://paul-email-spam-detection.streamlit.app/