The best Machine Learning algorithm for Email Classification

Email Classification works on the same basic concepts. By going through the text of the email, we will use Machine Learning algorithms to predict whether the email has been written by one person or the other. Implementing Machine Learning Algorithms to Classify Emails. The best Machine Learning algorithm for Email Classification

Email Classification is a Machine Learning problem that falls under the category of Supervised Learning.

This mini-project of Email Classification is inspired by J.K. Rowling’s publishing of a book under a pen-name. Udacity’s “Introduction to Machine Learning” provides a comprehensive study of the algorithms and the project.

A couple of years ago, Rowling wrote a book, “The Cuckoo’s Calling,” under the name Robert Galbraith. The book received some good reviews, but no one paid much attention to it — until an anonymous tipster on Twitter said it was J.K. Rowling. The London Sunday Times enlisted two experts to compare the linguistic patterns of “Cuckoo” to Rowling’s “The Casual Vacancy,” as well as to books by several other authors. After the results of their analysis pointed strongly toward Rowling as the author, the Times directly asked the publisher if they were the same person, and the publisher confirmed. The book exploded in popularity overnight.

Email Classification works on the same basic concepts. By going through the text of the email, we will use Machine Learning algorithms to predict whether the email has been written by one person or the other.

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Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant

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8 Machine Learning Resources to Learn Data Structures and Algorithms. Before we start, most of these machine learning resources do assume a basic knowledge of at least one programming language. You don’t need to be an expert by any means! You just need the programming basics. If you have never written code before, you may want to bookmark this article and return to it later.

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