Machine Learning for Supply Chains

Description

In this course, you will :

• Learn to use Python libraries such as Numpy and Pandas to merge, clean, and manipulate data.
• Gain familiarity with basic and advanced Python functions such as module import and use, list comprehensions, and lambda functions.
• Use Linear Programming with Pulp to solve a supply chain cost optimization problem.
• Building ARIMA models in Python to forecast demand

Syllabus :

• Fundamentals of Machine Learning for Supply Chain
• Demand Forecasting Using Time Series
• Advanced AI Techniques for the Supply Chain
• Capstone Project: Predicting Safety Stock