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email-classifier

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The project leverages Naive Bayes Classifiers, a family of algorithms based on Bayes’ Theorem, which presumes independence between predictive features. This theorem is crucial for calculating the likelihood of a message being spam based on various characteristics of the data.

  • Updated Apr 22, 2024
  • Jupyter Notebook

A collection of Python scripts designed to streamline various tasks related to managing emails and PDF attachments. Easily extract clean email text, classify emails as automated or human-generated, process PDFs, and automatically fill PDF forms using saved user profile data.

  • Updated Jul 18, 2023
  • Python

This repository is made to support my application of MLH fellowship. This project had been done during my 2 years of work experience at Sailfin Technologies and is stored as a private repository before. The repository contains full process code from email cleaning, data modelling, database authentication (postgres for Salesforce), REST API build…

  • Updated Sep 8, 2021
  • Python

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