Big Mart Sales prediction is a data science contest, suitable for beginners to hone their skills through modeling a regression problem which has been provided by analyticsvidhya. You can download the dataset here : https://datahack.analyticsvidhya.com/contest/practice-problem-big-mart-sales-iii/#ProblemStatement or visit analyticsvidhya contest page. this respiratory includes three stages: 1st stage: EDA of Big Mart Sales Dataset, 2nd stage: feature engineering, 3rd stage: applying ML to build a model
Sales Prediction for Big Mart Outlets The data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim is to build a predictive model and predict the sales of each product at a particular outlet.
Using this model, BigMart will try to understand the properties of products and outlets which play a key role in increasing sales.
Please note that the data may have missing values as some stores might not report all the data due to technical glitches. Hence, it will be required to treat them accordingly.