This course introduces the student to machine learning (ML) in Python using practical examples. The focus will be on applying ML to a business case and create value from data.
As businesses continue to evolve towards becoming more data driven, we need tools to take advantage of the data. One of these tools is machine learning, which can process and make use of vast amounts of data that are not comprehensible for humans. Hence, ML can be utilized to improve decision support by using data that is not fully exploited yet. This course is an introduction to data driven decision processes and how they are used in business applications.
While machine learning can be done in several programming languages, Python continues to be a top choice for many professionals and first-time coders. The simplicity and widespread use of Python makes it a very good choice for business students as it can be used for building ML-systems, automating tasks and develop applications.
Topics covered in this course:
- How can ml be an appropriate tool for use in decision support.
- Assess the quality of data.
- Solving a business case using ml and Python.
The course is intended for students with little to no prior knowledge of python, but with some knowledge of statistical/machine learning.