Ericsson ML Challenge Winning Solution | asingleneuron
Ericsson ML Challenge was focused on NLP and Predictive Analytics problem. This was a two round challenge. First round was online round, top participants from first round called for offline round at Ericsson office to present their approach and thought process to solve these problems to the Jury. I won the hackathon by securing 2nd place after the offline round. Problem Statement 1: PREDICT MATERIAL TYPE Assume that you are a member of a marketing agency and you are given a dataset having the title, subjects, and other features, based on which you have to predict what will be the material of to-be-published research so that you can tie-up with an ideal publisher and help them grow. TRAINING DATA contains 31653 rows and 12 features TEST DATA contains 21102 rows and 11 features The following are the material types: Book Sound disc Videocassette Sound cassette Music Mixed CR This is a multi-class classif...