There are sales data available for 45 stores of Walmart in Kaggle. This is the data that covers sales from 2010-02-05 to 2012-11-01.
Python versions 3
Python Libraries:
sklearn.
Pandas.
numpy.
seaborn
matplotlib.
datetime.
- Which stores have maximum and sales?
- Which store has maximum standard deviation i.e., the sales vary a lot?. Also, find out the coefficient of mean to standard deviation.
- Which store/s has good quarterly growth rate in Q3’2012?
- Find out holidays which have higher sales than the mean sales in non-holiday season for all stores together.
- Provide a monthly and semester view of sales in units and give insights.
- Build prediction to forecast demand.
- The aim of this project is enable category managers of Walmart to check the weekly and monthly sales of the departments.
- Analyzed the effect of various factors such as store size, fuel prices, unemployment etc to determine the factors have a statistical significance in explaining sales in the stores by using different ML models like random forest,LGBM ,XGboost.
- Achieved a accuracy of 94.63% using LGBM model