Practical Machine Learning

One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications.


Course Objectives:

  • To cover the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation.


Recommended Background

  • Recommended for individuals heading towards a career in data science / currently in a business data analyst/scientist role.
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Course ID

CA180

Skill Focus

Smart Technology

Instructor(s)

Johns Hopkins University

Employee Type

New Applicants

Method of Delivery

Digital

Estimated Effort

8 hrs

Cost

33.25$/month


Can audit for free (no certification); Full Financial Aid Available for Certification