• Harianto
• Jefriyanto Chandra
• Bryan Kenedy
• Gary Happydinata
• Randy Heskyel

The goal of this project is to develop a machine learning model that can accurately predict the quantity of items purchased based on historical data. This can help businesses in inventory management, demand forecasting, and optimizing the supply chain.

The dataset used in this project should contain historical purchase data, including features such as:

• Date of purchase
• Day of purchase
• Product Name
• Product Code
• Quantity purchased
• Price

You can use your dataset or use our sample dataset data.csv on the root folder.

Install the required Python packages:

pip install -r requirements.txt