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spam mail detection

Project Intro/Objective

This project is made using Django framework and machine learning classification algorithm (Naive bayes algo). This project detects whether mail is spam or not.

-- Project Status: [Completed]

Screenshoots of project

Mail is not spam:

Mail is not spam:

Methods Used

  • Data gathering
  • Data preprocessing
  • Machine Learning
  • Model evaluation
  • Predictive Modelin

Technologies

  • Python
  • Numpy
  • Pandas
  • jupyter
  • joblib
  • HTML
  • CSS
  • JavaScript
  • Django

Project Description

This is project based on classification ml algorithm.

Dataset used by this project is 'spam.csv' downloaded from kaggle. After downloading and importing dataset(in jupyter Notebook) i did data mapping like ham=0 and spam=1 and created one column 'sapm'.

After that i just divided my dataset into dependent and independent features. (Independent features=Message | Dependent feature=Spam) and split into training and testing data.

After that i did text preprocessing for that i used 'CountVectorizer'.

After that i created 'Multinomial naive bayes' model and used pipline.

I got 97% testing accuracy.

Needs of this project

  • frontend developers
  • data exploration/descriptive statistics
  • data processing/cleaning
  • statistical modeling
  • writeup/reporting

Contact

  • Feel free to contact me any questions or if you are interested in contributing!

Thank You