M5 Accuracy - Walmart Sales Prediction

The primary objective of this study is to accurately forecast item-level unit sales for Walmart, based on store sales data provided for three US states (California, Texas, and Wisconsin). To predict sales for different items sold at Walmart, machine learning methods were employed alongside conventional strategies to improve accuracy. Three different machine learning models are used to forecast daily sales for the following 28 days. The primary problem at hand is to predict sales from historical data.