Accurate Sales Forecast for Data Analysts: Building a Random Forest model with Just SQL and Hivemall Treasure Data Blog

In this blog post, we will use Hivemall, the open source Machine Learning-on-SQL library available in the Treasure Data environment, to introduce the basics of machine learning. We will use an E-Commerce dataset from Kaggle, the data science competition platform. The first challenge is predicting the retail sales for the Rossman stores (the full details at Kaggle). We will use an ensemble learning technique known as Random Forest regression. Rossman is a pharmacy chain with over 3,000 stores in seven countries within Europe.