https://github.com/vchrombie/black-friday-sales
https://github.com/vchrombie/black-friday-sales
analytics-vidhya-competition black-friday-hack datahack-competition
Last synced: 25 days ago
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- Host: GitHub
- URL: https://github.com/vchrombie/black-friday-sales
- Owner: vchrombie
- License: mit
- Created: 2019-04-23T10:39:09.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2019-04-27T03:50:38.000Z (about 6 years ago)
- Last Synced: 2025-02-14T14:17:12.403Z (3 months ago)
- Topics: analytics-vidhya-competition, black-friday-hack, datahack-competition
- Language: HTML
- Homepage: https://vchrombie.github.io/black-friday-sales/black-friday-sales.nb.html
- Size: 7.79 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
## Black-Friday Sales Prediction Problem
> Contest Link: https://datahack.analyticsvidhya.com/contest/black-friday/
### Problem Statement
A retail company “ABC Private Limited” wants to understand the customer purchase behaviour (specifically, purchase amount) against various products of different categories. They have shared purchase summary of various customers for selected high volume products from last month. The data set also contains customer demographics (age, gender, marital status, city_type, stay_in_current_city), product details (product_id and product category) and Total purchase_amount from last month.
Now, they want to build a model to predict the purchase amount of customer against various products which will help them to create personalized offer for customers against different products.
### Solution
You can view the detailed explanation solution at [black-friday-sales notebook](https://vchrombie.github.io/black-friday-sales/black-friday-sales.nb.html).
## Team
- [Srinivas Machiraju](https://github.com/srinivasmachiraju)
- [Aruna Maurya](https://github.com/aruna09)
- [Mohit Hooda](https://github.com/mohit10)
- [Venu Vardhan](https://github.com/vchrombie)