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You can be among them too!   At JOB-A-THON, all Data Science enthusiasts, freshers and professionals will get the opportunity to showcase their skills and get a chance to interview with top companies for leading job roles in Data Science, Machine Learning \u0026amp; Analytics. \n# Problem Statement\n\nABC is an online content sharing platform that enables users to create, upload and share the content in the form of videos. It includes videos from different genres like entertainment, education, sports, technology and so on. The maximum duration of video is 10 minutes.\nUsers can like, comment and share the videos on the platform. \nBased on the user’s interaction with the videos, engagement score is assigned to the video with respect to each user. Engagement score defines how engaging the content of the video is. \nUnderstanding the engagement score of the video improves the user’s interaction with the platform. It defines the type of content that is appealing to the user and engages the larger audience.\n# Objective\nThe main objective of the problem is to develop the machine learning approach to predict the engagement score of the video on the user level.\n\n# Data Dictionary\nYou are provided with 3 files - train.csv, test.csv and sample_submission.csv\n\n\u003cimg width=\"413\" alt=\"Screenshot 2022-02-13 235339\" src=\"https://user-images.githubusercontent.com/70212207/153769074-d1d6e756-eaba-4040-a5dc-75ded2e2402b.png\"\u003e\n\n# Submission File Format\n\nsample_submission.csv contains only 2 variables - row_id and engagement_score\n\n# Evaluation metric\nThe evaluation metric for this hackathon is r2 score.\n\n# MY Rank \nRank out of 1177 competitors\n\u003cimg width=\"830\" alt=\"Screenshot 2022-02-13 235424\" src=\"https://user-images.githubusercontent.com/70212207/153769077-ba651a96-15fb-4e0e-a3cc-574f32a67c3e.png\"\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsai-123-code%2Fjobathon_feb2022","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsai-123-code%2Fjobathon_feb2022","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsai-123-code%2Fjobathon_feb2022/lists"}