Machine Learning II

Credit Option
Non Credit
Program Type

In two 4-hour workshops, you’ll continue to build your skills in advanced applications of machine learning.

This includes timely applications such as Trees, Forest, KNN and Support Vector Machines. You’ll benefit from a basic review of the math behind the algorithms, as well as the advantages and limitations of machine learning. Through hands-on learning exercises, you will practice your skills with examples from competition websites such as Kaggle. Your more advanced machine learning skills will help give you an edge in the data-driven marketplace, and boost the computer skills of educators in any data science field.

Can be taken individually or as part of the Building Your Skills in Python, Machine Learning, AI and R certificate program.

Workshop Information

Course Dates




Who can benefit:

  • IT Professionals
  • Computer or Data Science Educators
  • Anyone Interested in Coding or Software Programming
  • Students Studying Computer or Data Science


Basic knowledge in python computer 

Course Prerequisites


Phone Number
Hagedorn Hall of Enterprise 201

Juan Jaramillo is an associate professor and the director of the Master of Science in Business Analytics in the Robert Willumstad School of Business at Adelphi University . He holds a PhD in Industrial Engineering from West Virginia University. His published research spans the fields of Analytics, Logistics, Operations Management, and Health Care Analytics. Juan has been an invited editor of the INFORMS Journal on Applied Analytics and the Journal of Modelling in Management. He is the inaugural recipient of the prestigious Michael F. Gorman award for his contribution to the Analytics society of INFORMS.

Phone Number
More Info
Levermore Hall, 303
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