📧 Email Spam Detection

A simple machine learning project that classifies emails as Spam or Ham using Logistic Regression and TF-IDF vectorization. Built with Python and scikit-learn.

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🚀 Features

• Preprocesses and cleans email text data
• Converts text to numerical features using TF-IDF
• Trains a Logistic Regression model
• Predicts if a given message is spam or not
• Simple and beginner-friendly code

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🛠️ Tech Stack

• Python
• Pandas
• Scikit-learn
• TfidfVectorizer
• LogisticRegression

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📂 Dataset

The dataset mail_data.csv contains:

• Category: Label (spam or ham)
• Message: Email/message text

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📌 Example Usage

input = ["🎉 You've won $500! Click now to claim your prize."]
input_data_features = feature_extraction.transform(input)
prediction_on_input = model.predict(input_data_features)

if prediction_on_input[0] == 0:
    print('Spam')
else:
    print('Ham')

📈 Output

Spam

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