This repository houses a lightweight, machine-learning-based spam email classifier. It uses Natural Language Processing (NLP) with CountVectorizer and a LogisticRegression model to categorize incoming text as either spam or ham. The dataset in spam_ai.py is an example placeholder.
- Python 3
- NumPy and Pandas for data handling
- Scikit-Learn for vectorization and model training
To run this classifier locally, clone the repository and install the required dependencies.
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Clone the repo:
git clone https://github.com/Adhi7783/Spam-Email-Classifier.git cd Spam-Email-Classifier -
Install dependencies:
pip install numpy pandas scikit-learn
Run the main script to train the model on the sample placeholder dataset and print the accuracy, precision, recall, and classification report.
python spam_ai.pyspam_ai.py
README.md