Various machine learning models are implemented post data cleaning and feature engineering steps on a dataset based on a Brazillian Ecommerce Store. The aim is to predict customer review scores (binary classification problem) so that the company can target them and boost online reputation The repository contains 8 datasets and the machine learning models are used after fter joining/merging all the datasets through primary and foriegn keys.