Data Science Hackathon organized in campus in which I partcipated The Problem statements is as follows- Predict the Publishing Material Type
We are living in a world full of technology. Probably when we think about the 10 years challenge, we look back and think, how things have changed, how fast we have actually progressed and the sole reason is the level of research quality that is being done with the available resources. And because of so much of research there’s a huge competition between the new publishers and they look for really good marketing companies. And living in a digital world, people prefer to read articles online or watch videos rather than reading a book. As a member of a marketing agency you’re given a dataset having the title, subjects and other features based on which you have to predict what will be the material of that to-be published research so that you can tie-up with an ideal publisher and help them grow. The following are the material types:
Book, Sounddisc, Videocass, Soundcass, Music, Mixed, Cr. You have to predict the column “MaterialType” and please submit in the format given in the “sample_submissions.csv” file. Also note evaluation criteria will be the weighted f1-score. You have to predict the column “MaterialType” and please submit in the format given in the “sample_submissions.csv” file. Also note evaluation criteria will be the weighted f1-score Here is a link of the problem statement- https://www.hackerearth.com/challenges/college/ml-iitk-july/machine-learning/b7fe7fdd6eaa4b7b9f6afbb973ab0f40/