Project Description
I am competing in a HackerEarth data-science contest and I want to push my score into the top tier of the leaderboard before the challenge closes next month. I have already set up the competition workspace and can grant you immediate access to the dataset, rules, and current public-leaderboard baseline.
Here is what I need from you: build, tune, and iterate a high-performing regression model, supply well-commented code (Python is preferred, but you are free to choose the stack you are fastest with), and hand over a prediction file ready for final submission. Along the way, please keep a concise notebook or script that allows me to reproduce your workflow end-to-end on my own machine.
In your bid, include links or brief summaries of past work that demonstrate strong results in similar competitions or real-world regression problems—this will help me gauge fit quickly.
Key deliverables:
• Reproducible code/notebook with clear comments
• Final ranked prediction file for submission
• Short read-me explaining feature engineering and hyper-parameter choices
The timeline is firm: everything must be wrapped up within one month, ideally with enough buffer to test final tweaks before the deadline. I’ll be available daily for quick questions and can provide rapid feedback on interim submissions. If you thrive on leaderboard pressure and have the portfolio to prove it, I’m looking forward to working together.