Introduction to Machine Learning with Python: A Guide for Beginners in Data Science by Daniel Nedal & Peters Morgan

Author:Daniel Nedal & Peters Morgan [Nedal, Daniel]
Language: eng
Format: epub
Publisher: AI Sciences LLC
Published: 2018-07-25T23:00:00+00:00

How to Build a Basic Model Using Naive Bayes in Python

For our hands on example we would build a Naive Bayes model in Python to tackle a spam classification problem. We would use the SMS spam collection dataset which is a set of 5,574 English text messages annotated to indicate the category. There are two categories - ham or legitimate messages and spam. The dataset can be downloaded from the following URL (https://www.kaggle.com/uciml/sms-spam-collection-dataset/downloads/spam.csv/1).

We would use the multinomial Naive Bayes classifier from Scikit-Learn machine learning library. As always, we begin by importing the libraries we would utilize.

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