Training Level

Intermediate

Training Duration (Days)

2

Training Mode

Physical classroom

Prerequisite

Basic MATLAB

Career Track

  1. Data Scientist
  2. Data Engineer

Industry Skill
Framework

Accreditation Body

N/A

Skill Outcome

By the end of this course, you will be able to:

  1. Use unsupervised learning techniques to discover natural groupings within a data set
  2. Use supervised learning techniques to predict a continuous or categorical response from many variables
  3. Use partitioning and validation techniques to improve the generalizability of a classification or regression model
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