Spam Classification

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About The Project

Spam, or unwanted commercial or mass e-mail, has recently become a major issue on the internet. Spam is a waste of time, storage space, and data transfer capacity.

Naive Bayes classifiers are a popular statistical strategy for e-mail filtering. They commonly use a bag of words feature to identify spam e-mail. As a consequence, we'll build a rudimentary message classifier using the Naive Bayes theory.

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Built With

• Python
• Flask
• HTML
• CSS
• JavaScript

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Getting Started

Prerequisites

Make sure that you have the following:

• Python 3+ and pip (which comes with Python 3+)
• sklearn
• pandas
• flask
• An environment to work in - something like Jupyter or Spyder

Installation :

1. Clone the repo

   git clone https://github.com/DeepKariaX/Spam-Classification-Flask

2. Install Python packages

    pip install flask
    pip install scikit_learn
    pip install pandas

   OR

    pip install -r requirements.txt

3. Run Spam_Classifier_Main File

    python Spam_Classifier_Main.py

License

Distributed under the MIT License. See LICENSE.txt for more information.

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