This article delves into the examination of user reviews and ratings on Flipkart. These reviews serve as a valuable resource for informing others about their experiences and, importantly, provide insights into product quality and brand reputation. Through this analysis, we aim to offer users valuable information about products and suggest ways to improve product quality. Here we will be applying Machine Learning to analyze the data and make prediction, either if a product review is positive or negative. Before going into the analysis and code, you can download the data from this link . Since we are using python here we will be using libraries & module like Pandas, Seaborne, Matplotlib, Scikit, NLTK etc. From the coding perspective i am using Jupyter Notebook which best for analysis and machine learning tasks. So first we will import our required modules and libraries in jupyter. Now if you have downloaded the dataset from the given link , import it using pandas and use t...