Nowadays, shopping malls and Big Marts keep track of individual item sales data in order to forecast future client demand and adjust inventory management. In a data warehouse, these data stores hold a significant amount of consumer information and particular item details. By mining the data store from the data warehouse, more anomalies and common patterns can be discovered.
We have to build a solution that should able to predict the sales of the different stores of Big Mart according to the provided dataset.
https://www.youtube.com/watch?v=v_3vFV5tdg4&t=16s
https://store--sales.herokuapp.com/
HLD/LLD/Architecture/DPR : https://drive.google.com/drive/folders/1jOIL4jgiebj_3euKR6wRm6DNHX2EzQbA?usp=sharing
MongoDB database has been used to store prediction dataset and for logging
- python 3.x
- Flask
- pandas
- pymongo
- kneed
- scikit-learn
- xgboost
- Sayan Saha