📧 Spam Email Detection using TensorFlow & Keras

This project uses a deep learning approach with Bidirectional LSTM to detect spam emails from text data. It includes preprocessing, tokenization, model training with callbacks, and comprehensive evaluation.

🧠 Features

• Tokenization & Padding
• Bidirectional LSTM with Dropout
• Model Checkpointing & Early Stopping
• Confusion Matrix & Classification Report
• Automatic Best Model Saving (.keras)

📊 Results

• Accuracy: 99%

🚀 Tech Stack

• Python, TensorFlow, Keras, Scikit-learn, Pandas, Matplotlib, Seaborn

🧪 How to Run

pip install -r requirements.txt
python spam_detection.ipynb

You can also access my Kaggle Notebook here >> https://www.kaggle.com/code/aryadev25/spam-email-detection