- Pandas (Python Package)
- Data Analysis
- Plot (Graphics)
- Data Structures
- Applied Machine Learning
- Data Manipulation
- Pivot Tables And Charts
- Scripting
- Data Transformation
- NumPy
- Data Preprocessing
- Exploratory Data Analysis
Fundamentals of Machine Learning for Supply Chain
Completed by Anass TAYAE
September 24, 2021
13 hours (approximately)
Anass TAYAE's account is verified. Coursera certifies their successful completion of Fundamentals of Machine Learning for Supply Chain
What you will learn
Learn to merge, clean, and manipulate data using Python libraries such as Numpy and Pandas
Gain familiarity with the basic and advaned Python functonalities such as importing and using modules, list compreohensions, and lambda functions.
Solve a supply chain cost optimization problem using Linear Programming with Pulp
Skills you will gain
