Predicting health insurance premiums has become one of the most practical applications of machine learning in the insurance industry. By analyzing various demographic and lifestyle factors — such as age, BMI, smoking habits, and region — we can build models that estimate how much a person might pay for health insurance. In this project, we’ll … Read more
One of the most popular applications of data science is sentiment analysis of product reviews on e-commerce platforms. If you’re interested in learning how to perform Flipkart sentiment analysis with Python, this article is for you. Here, we will walk you through a complete data science project with e-commerce reviews, focusing on Flipkart product feedback … Read more
The task of consumer complaint classification falls under Natural Language Processing (NLP) and Multiclass Classification. To approach this problem, we need a dataset that contains real consumer complaints. We found a suitable dataset that includes: The type of complaint reported by the consumer The specific issue highlighted in the complaint The complete description of the … Read more
