Course Code: ML0101ENv3
Audience: Anyone
Course Level: Intermediate
Time to Complete: 12 hours
Language: English
This course dives into the basic of machine learning using Python, an approachable and well-known programming language. You will learn about supervised and unsupervised learning, analyze the relation between statistical modelling and machine learning through comparisons.
You will also look into real-life examples to look at the various ways that machine learning affects the society. You will also explore many algorithms and models –
Most importantly, this course will transform your theoretical knowledge into practical skills through experience at many hands-on labs.
Saeed Aghabozorgi, PhD. He is a Sr. Data Scientist at IBM with a track record of developing enterprise-level applications that substantially increase clients’ ability to turn data into actionable knowledge. He is a data mining field researcher and expert in developing advanced analytic methods like machine learning and statistical modelling on large datasets.
Agatha Colangelo also contributed.