BMSP-ML: big mart sales prediction using different machine learning techniques

<span lang="EN-US">Variations in sales over time is the main issue faced by many retailers. To overcome this problem, we attempt to predict comparing previous data of different stores. Firstly, primary task recognize pattern factors that help sales. This study helps us understand and using machines learning models. process gets beautifies imputing missing values feature engineering. While solving predicting monthly value significant study. In addition, an essential element clear perform proper engineering better them before applying them. The experimental results show random forest predictor has outperformed ridge regression, linear decision tree models among four machine techniques implemented performance proposed been evaluated root mean square error (RMSE).</span>