https://github.com/sai-123-code/jobathon_feb2022

Analytics Vidhya presents “JOB-A-THON” - India's Largest Data Science Hiring Event, where 37,000+ candidates have participated for job roles in over 80+ top companies. 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 & Analytics.
https://github.com/sai-123-code/jobathon_feb2022

competition data-science jobathon machine-learning r2-score random-forest-regression regression-analysis

Last synced: 3 months ago
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Analytics Vidhya presents “JOB-A-THON” - India's Largest Data Science Hiring Event, where 37,000+ candidates have participated for job roles in over 80+ top companies. 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 & Analytics.

• Host: GitHub
• URL: https://github.com/sai-123-code/jobathon_feb2022
• Owner: sai-123-code
• License: apache-2.0
• Created: 2022-02-13T18:15:04.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-02-13T18:28:22.000Z (over 3 years ago)
• Last Synced: 2025-03-28T17:15:08.969Z (7 months ago)
• Topics: competition, data-science, jobathon, machine-learning, r2-score, random-forest-regression, regression-analysis
• Language: Jupyter Notebook
• Homepage:
• Size: 2.23 MB
• Stars: 4
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# JOB-A-THON---Feb22

Analytics Vidhya presents “JOB-A-THON” - India's Largest Data Science Hiring Event, where 37,000+ candidates have participated for job roles in over 80+ top companies. 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 & Analytics. 

# Problem Statement

ABC 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.

Users can like, comment and share the videos on the platform. 

Based 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. 

Understanding 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.

# Objective

The main objective of the problem is to develop the machine learning approach to predict the engagement score of the video on the user level.

# Data Dictionary

You are provided with 3 files - train.csv, test.csv and sample_submission.csv



# Submission File Format

sample_submission.csv contains only 2 variables - row_id and engagement_score

# Evaluation metric

The evaluation metric for this hackathon is r2 score.

# MY Rank 

Rank out of 1177 competitors