In this hands-on project, we will train a Naive Bayes classifier model to perform reviews sentiment analysis. Natural language processing (NLP) works by converting words (text) into numbers, these numbers are then used to train an AI/ML model to make predictions. In this project, we will build a machine learning model to analyze thousands of reviews to predict customer’s sentiment towards Amazon Echo product. The algorithm could be used automatically understand the sentiment from public reviews, which could be used by companies to gain customer insights about their products and services.