My second project

Feb 13, 2020

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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:

You are required to write your predictions in a .csv file and upload it by clicking the Upload File button.