rahul 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 walk through … 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
