E-commerce platforms have been in existence for more than 2 decades now. The popularity and its preference as a common choice for buying and selling essential products have grown rapidly and exponentially over the past few years. E-commerce has impacted the lifestyle of common people to a huge extent. Many such platforms are competing over each other for dominance by providing consumer goods at a competitive price. In this hackathon, we challenge data science enthusiasts to predict the price of commodities on an e-commerce platform.
Given are 7 distinguishing factors that can influence the price of a product on an e-commerce platform. Your objective as a data scientist is to build a machine learning model that can accurately predict the price of a product based on the given factors.
The unzipped folder will have the following files. Train.csv – 2452 observations. Test.csv – 1051 observations. Sample Submission – Sample format for the submission. Target Variable: Selling_Price
