We live in a world that is driven by technology and electronic devices as gadgets have become a part of our daily life. It is near impossible to think of a world without smartphones or tablets. Like many kinds of goods or products, used electronic devices have a good demand in our country. In this hackathon, we challenge the data science community to predict the price of used electronic devices based on certain factors. Given are 6 distinguishing factors that can influence the price of a used device. Your objective as a data scientist is to build a machine learning model that can predict the price of used electronic devices based on the given factors.
The unzipped folder will have the following files.
Train.csv – 2326 observations.
Test.csv – 997 observations.
The leaderboard is evaluated using RMSLE for the participant’s submission.
For more info and data visit: https://www.machinehack.com/hackathons/used_electronics_price_prediction_weekend_hackathon_7/overview
Rank: 42 (RMSLE Score: 0.54048)