Spam_Mail_Prediction

Model

A ML Model based on Logistic Regression for Spam Email Classification

This model takes in the mail as input and converts it into feature vectures

Training the model on logistic regression

The Model is 96% accurate

Test Inputs

Spam Email (Labelled as 0)

Ham Email (Labelled as 1)

Front End of the Web App

Ham Email

Spam Email

Setting Up Email Spam Prediction Web App(On macOS)

Step 1: Clone the Repository

git clone https://github.com/bhattacharya-arka/Spam_Mail_Prediction.git
cd Spam_Mail_Prediction/Web\ App

Step 2: Install Requirements

pip3 install flask
pip3 install pickle

Step 3: Run the Flask App

python3 app.py

Setting Up Email Spam Prediction Web App(On Windows)

Step 1: Clone the Repository

git clone https://github.com/bhattacharya-arka/Spam_Mail_Prediction.git
cd Spam_Mail_Prediction/Web\ App

Step 2: Install Requirements

pip install flask
pip install pickle

Step 3: Run the Flask App

python app.py

Step 4: Access the Web App at http://localhost:5000