Python_internship_task5

📧 Spam Email Classifier

This project is a simple machine learning model built in Python that classifies emails as Spam or Ham (Not Spam) using TF-IDF vectorization and Logistic Regression.

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🚀 Features

• Reads and processes email data (mail_data.csv)
• Converts email text to numerical features using TF-IDF
• Trains a Logistic Regression model
• Allows user to input custom email text to classify
• Prints whether it's Spam or Ham

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🧠 Model Used

• TF-IDF Vectorizer for feature extraction
• Logistic Regression from sklearn for binary classification

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🗂️ Project Structure

Spam_email_classifier.py mail_data.csv README.md

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📦 Requirements

Install these using pip:

pip install numpy pandas scikit-learn

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🏃‍♂️ How to Run

1.Make sure mail_data.csv is in the same folder. 2.Run the Python file:

python Spam_email_classifier.py

3.Enter the email content when prompted. 4.The model will tell if the email is Spam or Ham.

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📊 Dataset Format

mail_data.csv should contain:

Category	Message
ham	Hello, how are you?
spam	Win cash prizes now!
...	...

🧪 Sample Output

Enter mail content: Congratulations! You have won $1000 gift card.
Spam mail

Enter mail content: Meeting rescheduled to 3 PM. Please confirm.
Ham Mail