Learn About Application of Machine Learning with Python

Machine Learning with Python

Artificial Intelligence (AI) attempts to make machines or software imitate, and eventually replace human behavior and intelligence. AI uses machine learning to automatically learn and improve from experience. The machine learning project you will walk through in this video series will focus on utilizing a machine-learning classification system to identify types of flowers. The project will be based on Python with the use of Spyder IDE and a public dataset.

For additional Python-related videos, check out Programming with Python, Data Visualization in Python with Matplotlib, or our other technology-skills-related and business skills-related videos.

Video Details

LENGTH

1 hour

COST & FEES

$0.00, 100% complimentary

What You'll Learn

Dr. Genevieve Marie Isabelle Sapijaszko talks through machine learning with Python to help you:

Better understand machine learning
With an overview of machine learning in a project-based setting

This skill-building video is best for individuals wanting to break into a technology-related career or seeking technology-related entry-level positions.

No prior coding or hardware knowledge is required.

The link below will take you to Kaltura's site for full-screen viewing of the video:

View Machine Learning with Python Video

Additional Details

These online, self-paced videos are non-credit bearing, avocational and not part of a DeVry University or Keller Graduate School of Management program of study.
These short videos are provided to help you develop or enhance your skills. Completion of these videos does not lead to employment.

About Dr. Genevieve Marie Isabelle Sapijaszko

Dr. Sapijaszko graduated with a Ph.D. in Electrical Engineering in 2020 with a focus on artificial intelligence, neural networks, and image recognition. Two decades earlier, she earned her M.S. Degree in Electrical Engineering at the University of Calgary in Canada. In 2008, she received a master’s in information systems management from Keller Graduate School of Management. She has a professional engineering license in the province of Alberta Canada and is a senior member of IEEE. Since joining DeVry University in 1997, she taught many electrical engineering, electronics, computer programming, web development, networking, physics and math courses. In addition to enhancing the student experience in the classroom, she has served as a mentor to FIRST robotics competitions, IEEExtreme competitions and MyWord (Women in Stem).

Related Programs

^*DeVry University is accredited by The Higher Learning Commission (HLC), www.hlcommission.org. The University's Keller Graduate School of Management is included in this accreditation.