2nd Part :- https://youtu.be/kgjZAHCTGNI Context :-- 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. AIM: You have to build a solution that should able to predict the sales of the different stores of Big Mart according to the provided dataset. Github Link:-https://github.com/pydeveloperashish/BigMart-Sales-Prediction-With-Deployment Dataset Link:- https://www.kaggle.com/brijbhushannanda1979/bigmart-sales-data Follow me on Instagram to get very useful informations on AI. If you have any doubt regarding any code, you can DM me on Instagram. You can contact to me on Instagram:- https://www.instagram.com/developer_ashish.py Lets connect on LinkedIn:- https://developerashish.page.link/LINKEDIN-HANDLE Join us on Telegram:- https://t.me/developers_community