/Spam-email-classifier

Primary LanguageJupyter Notebook

Email Spam Classifier Project

Overview

This project implements an email spam classifier using various classification techniques. The goal is to accurately distinguish between spam and non-spam (ham) emails based on machine learning models.

Data

The dataset used for this project can be found here.

Features

  • Spam Prediction: The model can classify emails as either spam or not spam based on input features.

  • Data Analysis: Exploratory Data Analysis (EDA) has been performed on the dataset to gain insights into the characteristics of the data.

  • Performance Metrics: The model's performance is evaluated using metrics such as accuracy, precision.