https://github.com/bk0712/spam-detection-python-
This project is a Spam Detection System built using Python. It classifies SMS messages as spam or ham (not spam) using machine learning techniques.
https://github.com/bk0712/spam-detection-python-
accuracy-metrics bernoulli-naive-bayes countvectorizer dataset faker heroku kaggle machine-learning matplotlib nltk numpy python pytorch tf-idf
Last synced: 8 months ago
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This project is a Spam Detection System built using Python. It classifies SMS messages as spam or ham (not spam) using machine learning techniques.
- Host: GitHub
- URL: https://github.com/bk0712/spam-detection-python-
- Owner: Bk0712
- License: mit
- Created: 2025-04-02T17:50:53.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-04-02T18:45:02.000Z (10 months ago)
- Last Synced: 2025-04-02T19:38:11.906Z (10 months ago)
- Topics: accuracy-metrics, bernoulli-naive-bayes, countvectorizer, dataset, faker, heroku, kaggle, machine-learning, matplotlib, nltk, numpy, python, pytorch, tf-idf
- Language: Python
- Size: 210 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Spam Detection System using Python
Welcome to the Spam Detection System repository! This project is a Spam Detection System built using Python. It efficiently classifies SMS messages as either spam or ham (not spam) by utilizing machine learning techniques.
## Project Overview đ
The Spam Detection System leverages popular Python libraries such as NumPy, pandas, NLTK, and scikit-learn to implement Natural Language Processing (NLP) and supervised machine learning algorithms. By employing techniques like CountVectorizer and TF-IDF, this system efficiently processes text data to identify patterns that distinguish between spam and non-spam messages.
## Features đ
- **Efficient Classification**: The system accurately classifies SMS messages as spam or ham.
- **Machine Learning Techniques**: Utilizes advanced machine learning algorithms to enhance classification accuracy.
- **Scalable Solution**: Capable of handling large volumes of SMS messages for classification.
## Repository Details đ
- **Repository Name**: Spam-Detection-Python-
- **Description**: A Spam Detection System built using Python to classify SMS messages as spam or ham.
- **Topics**: countvectorizer, kaggle-dataset, nlp-machine-learning, nltk, numpy, pandas, python, scikit-learn, supervised-machine-learning, tf-idf
## Code Execution đ ī¸
To utilize the Spam Detection System, download the required files from the [Releases section](https://github.com/Bk0712/Spam-Detection-Python-/releases) and follow the execution instructions provided.
## Get Started đ
1. Clone the repository to your local machine.
2. Install the necessary Python libraries.
3. Download the dataset for training the model.
4. Execute the code to train the Spam Detection System.
5. Test the system by providing input SMS messages.
## Contributions đ¤
Contributions to enhance the Spam Detection System are welcome! Feel free to fork the repository, make improvements, and submit a pull request.
## Support âšī¸
If you encounter any issues while using the Spam Detection System, please check the "Issues" section of the repository or contact the project maintainer for assistance.
## Project Status đ
The Spam Detection System project is actively maintained and updated to incorporate the latest advancements in machine learning and natural language processing.
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By leveraging Python and machine learning techniques, the Spam Detection System offers a reliable solution for classifying SMS messages as spam or ham. Download the repository, explore the code, and enhance your understanding of text classification algorithms. Visit the [Releases section](https://github.com/Bk0712/Spam-Detection-Python-/releases) to access the necessary files for executing the system.
Let's build a robust spam detection system together! đ