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amirsoahil101/
Email_Spam_Detection_Model

Name: Email_Spam_Detection_Model
Availability: InStock

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📧 Email Spam Detection Model

This repository hosts an optimized Machine Learning model designed to classify incoming emails into Spam (unwanted/fraudulent) or Ham (legitimate/safe). The model leverages classical Natural Language Processing (NLP) techniques coupled with a robust Scikit-Learn pipeline for efficient classification.

🚀 Model Details

Model Type: Text Classification (Binary Classification)
Algorithm: Multinomial Naive Bayes / Logistic Regression (Scikit-Learn)
Feature Extraction: TF-IDF (Term Frequency-Inverse Document Frequency) Vectorizer
Language: English (en)
License: MIT

🛠️ How to Use (Inference)

You can load and test this model locally on your machine using the Python code snippet provided below.

Requirements

Ensure you have the necessary dependencies installed:

pip install scikit-learn joblib pandas

amirsoahil101/Email_Spam_Detection_Model

📧 Email Spam Detection Model

🚀 Model Details

🛠️ How to Use (Inference)

Requirements

amirsoahil101/
Email_Spam_Detection_Model