https://github.com/ankitsharma-tech/spam-mail-detector-using-ml
This model can detect any kind of spam mail.
https://github.com/ankitsharma-tech/spam-mail-detector-using-ml
algorithm artificial-intelligence artificial-intelligence-algorithms artificial-intelligence-models artificial-intelligence-projects deep-learning detectany-kind mail ml nlp-machine-learning python python-3 python3 spam spam-mail tensorflow tensorflow2
Last synced: 2 months ago
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This model can detect any kind of spam mail.
- Host: GitHub
- URL: https://github.com/ankitsharma-tech/spam-mail-detector-using-ml
- Owner: ankitsharma-tech
- License: mit
- Created: 2025-09-18T18:20:16.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-09-18T18:22:20.000Z (3 months ago)
- Last Synced: 2025-09-18T21:27:05.482Z (3 months ago)
- Topics: algorithm, artificial-intelligence, artificial-intelligence-algorithms, artificial-intelligence-models, artificial-intelligence-projects, deep-learning, detectany-kind, mail, ml, nlp-machine-learning, python, python-3, python3, spam, spam-mail, tensorflow, tensorflow2
- Language: Python
- Homepage:
- Size: 8.69 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Spam Email Detection using scikit-learn
## Introduction
This project is a spam email detection system built using machine learning algorithms from scikit-learn. Spam emails can be a significant problem, and having an automated system to detect and filter them out can be invaluable.
The model in this project is designed to detect various types of spam emails, making it versatile and useful for different email platforms and applications.
## Features
- Utilizes machine learning techniques from scikit-learn.
- Accurate detection spam emails.
## Requirements
To run this project, you'll need the following:
- Python 3.x
- scikit-learn library
## Installation
1. Clone this repository to your local machine:
```shell
git clone https://github.com/ankitsharma-tech/Spam-Mail-Detector-Using-ML.git
```
2. Install the required Python libraries using pip:
```shell
pip install scikit-learn==0.22.1
```
3. Run The code
```shell
python spam.py
```