Building regression model to accurately predict the costs of products within a diverse market landscape. This task for a kaggle comptetion hosted on this link. Our team name is Champion Team, find our rank!!!
Kaggle Notebooks:
| Column Name | Description |
|---|---|
| Person Description | Description of the person visiting the market |
| Place Code | Code for each place which consists of 2 city codes parts separated by "_" |
| Customer Order | Order of each customer in the market |
| Additional Features in market | A list of features that are found in the market |
| Promotion Name | Name of promotion made by the market on media |
| Store Kind | Genre/category of the store |
| Store Cost | Cost of the store |
| Store Sales | The amount of money spent on sales that have been made since the store first opened |
| Gross Weight | Weight of the bought item |
| Net Weight | Weight of bought item without packaging |
| Package Weight | Weight of the packaging |
| Is Recyclable? | Whether the item is recyclable or not |
| Yearly Income | Minimum income for the consumer per year |
| Store Area | Area of the store |
| Grocery Area | Area of the grocery department in the store |
| Frozen Area | Area of the frozen food department in the store |
| Meat Area | Area of the Meat department in the store |
| Cost | Target variable (to be predicted) |