Prediction of Big Mart Sales Using Exploratory Machine Learning Techniques
In this paper the prediction of big mart sales using exploratory machine learning techniques are implemented. Basically, the forecasting of sales plays important role for marketing, retailing, wholesaling and manufacturing and this is done in different companies. This proposed system will allow the companies to plan better strategy and achieve revenue sales and will give better growth for the future in companies. Compared to the other learning methods, this machine learning method gives accurate result. In the entire system the feature selection, data transformation and data exploration will plays important role and gives effective output in terms of accuracy.
Keywords: Data Exploration, Big Mart Data Set, Linear Regression Model, Hypothesis Generation, Data Exploration, Data Cleaning, Ridge Regression Method.