Machine Learning + Project


To gain a competitive edge in the data scientist market, it is essential for candidates to equip skills in machine learning. We will be using the both the SAS & the Python language throughout the course with hands-on experience, case studies and quizzes. Students only require to have a solid background in SAS Base OR Basic Python in order to take this course

Topics included

  • Logistic & Linear Regression

  • Decision Tree & Random Forest

  • Support Vector Machine

  • Partial Least Square

  • Clustering Analysis

  • Dimension Reduction

About this course

  • Training will be instructor-led, in class

  • Spyder IDE & SAS Studio, set-up instruction will be provided

  • Basic Python OR Base SAS are required

  • Suited for individuals from any career and academic backgrounds

  • Certification of completion will be provided upon successful completion the course

  • Participants are welcomed to retake the same class in the future free-of-charge