https://github.com/birajcoder/email-spam-classifier
Email-Spam-Classifier using Naive Bayes Algorithm
https://github.com/birajcoder/email-spam-classifier
email-spam-classifier flask hacktoberfest hacktoberfest-accepted hacktoberfest2021 heroku-deployment machine-learning naive-bayes-classification python
Last synced: about 2 months ago
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Email-Spam-Classifier using Naive Bayes Algorithm
- Host: GitHub
- URL: https://github.com/birajcoder/email-spam-classifier
- Owner: BirajCoder
- Created: 2021-03-08T16:06:01.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2021-10-06T20:53:50.000Z (over 4 years ago)
- Last Synced: 2025-02-24T00:41:23.069Z (over 1 year ago)
- Topics: email-spam-classifier, flask, hacktoberfest, hacktoberfest-accepted, hacktoberfest2021, heroku-deployment, machine-learning, naive-bayes-classification, python
- Language: Jupyter Notebook
- Homepage: https://email-spam-classifier-uwex.onrender.com/
- Size: 3.04 MB
- Stars: 0
- Watchers: 1
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Email-Spam-Classifier
## Description
This is a Machine Learning Project used to classify Spam Mails from any given mail. Here, I have used Naive Bayes Algorithm model to classify whether a mail is spam or not.
This project is completely done in Python and using libraries numpy, pandas, scickit-learn, pickle, flask, etc.
A web version of this project is deployed using Heroku and can be used to real world email texts.
## How to run the online live Classifier?
If you want to Check whether your mail is a spam or not, follow the steps given below.
* Open the site [Email-spam-classifier](https://biraj-email-spam-classifier.herokuapp.com).
* Copy the text from your mail that you want to check.
* Paste your text in the text area of the web page.
* Press the check button
If the mail you entered is a Spam, a **Spam** text of red colour appears on the screen, otherwise a **Not Spam** text of green colour appears on the screen.