Task
In the pandas dataframe, the following columns are given. Use them to predict the final cost in the test set.
- Customer Id: Represents the unique identification number of the customers
- Artist Name: Represents the name of the artist
- Artist Reputation: Represents the reputation of an artist in the market (the greater the reputation value, the higher the reputation of the artist in the market)
- Height: Represents the height of the sculpture
- Widht: Represents the widht of the sculpture
- Weight: Represents the weight of the sculpture
- Material: Represents the material that the sculpture is made of
- Price Of Sculpture: Represents the price of the sculpture
- Base Shipping Price: Represents the base price for shipping a sculpture
- International: Represents whether the shipping is international
- Express Shipment: Represents whether the shipping was in the express (fast) mode
- Installation Included: Represents whether the order had installation included in the purchase of the sculpture
- Transport Represents the mode of transport of the order
- Fragile: Represents whether the order is fragile
- Customer Information: Represents details about a customer
- Remote Location: Represents whether the customer resides in a remote location
- Scheduled Date: Represents the date when the order was placed
- Delivery Date: Represents the date of delivery of the order
- Customer Location: Represents the location of the customer
- Cost: Represents the cost of the order
The data folder consists of two folders and one .csv file. The details are as follows:
- train: Contains 6469 images for 6 classes
- test: Contains 3489 images
- train.csv: 3489 x 2
Submission format
You are required to write your predictions in a .csv file and upload it by clicking the Upload File button.