A leading global leader of e-commerce has over 150 million paid subscription users. One of the many perks of the subscription is the privilege of buying products at lower prices. For an upcoming sale, the organization has decided to promote local artisans and their products, to help them through these tough times. However, slashed prices may impact local artists.
To not let discounts affect local artists, the company has decided to determine the lowest price at which a particular good can be sold. Your task is to build a predictive model using Machine Learning that helps them set up a lowest-pricing model for these products.
You have to predict the Low_Cap_Price column.
Data description
Column | Description |
Item_Id | Unique item ID |
Date | Date |
State_of_Country | State no. of the country |
Market_Category |
Category of the market to which the product belongs to |
Product_Category | Category of the product |
Grade | Quality of the product |
Demand | Demand rate of the product in the market |
Low_Cap_Price [Target] | Lowest price that can be offered |
High_Cap_Price | Original maximum price in the current market |
Data files
The dataset folder consists of the following files:
Please refer to sample_submission.csv for more details.