classifying sending emails to spam or not spam

Overview: The goal of this project is to develop a machine learning model capable of classifying emails as either Spam or Not Spam (Ham). Spam emails are unsolicited, often irrelevant or harmful messages, usually sent in bulk. They may contain advertisements, phishing attempts, or malicious content. This classification system aims to automatically filter out unwanted emails from users' inboxes to improve productivity and security.

The project will involve processing a large collection of email data, training a machine learning model, and evaluating its effectiveness in classifying emails into the correct categories. We will utilize natural language processing (NLP) techniques to analyze the content of emails and make accurate predictions.