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
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
Detecting spam comments is the task of text classification in Machine Learning. Spam comments on social media platforms are the type of comments posted to redirect the user to another social media account, website, or any piece of content. To detect spam comments with Machine Learning, we need labelled data of spam comments. We found … Read more
