MachineHack_GIH

MachineHack Great Indian Hackathon, Rank 26 Solution

• Note: This notebook contains the final steps used for gettng LB score of 22.90 and hence may have missed some inital EDA and its info.
• URL: https://www.machinehack.com/hackathons/retail_price_prediction_mega_hiring_hackathon/overview

Dataset Description:

• Train.csv - 284780 rows x 8 columns (Inlcudes UnitPrice Columns as Target)
• Test.csv - 122049 rows x 7 columns
• Sample Submission.csv - Please check the Evaluation section for more details on how to generate a valid submission

Attribute Description:

1. Invoice No - Invoice ID, encoded as Label
2. StockCode - Unique code per stock, encoded as Label
3. Description - The Description, encoded as Label
4. Quantity - Quantity purchased
5. InvoiceDate - Date of purchase
6. UnitPrice - The Target value, price of every product
7. CustomerID - Unique Identifier for every Customer
8. Country - Country of sales, encoded as Label