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Big mart sales prediction model - data science project using python | Machine Learning | Likhitha
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In this Data science video "How to build/design/create a model that predicts big mart sales | Machine Learning | Likhitha | Data science project" there is an easy and step by step explanation of how to code and build a model that predicts big mart sales - using data science - machine learning techniques and tools.
In the days of big shopping malls and Big marts it is very important to keep track of individual item sales data in order to forecast or predict future stock demand and adjust inventory. 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 to optimize order quantity and bring in good profit to the marts by reducing dumping and stock outs
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