This course will give you an introduction to machine learning with the Python programming language. You will learn about supervised learning, unsupervised learning, deep learning, image processing, and generative adversarial networks. You will implement machine learning models using Python and will learn about the many applications of machine learning used in industry today. You will also learn about and use different machine learning algorithms to create your models.
Introduction to Machine Learning with Python
Introduction to Machine Learning with Python
This course is part of Python: A Guided Journey from Introduction to Application Specialization
Instructor: Adwith Malpe
Access provided by University of North Texas
3,219 already enrolled
Gain insight into a topic and learn the fundamentals.
24 reviews
Beginner level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Students will be able to apply advanced python coding skills in the real world by creating machine learning models.
Skills you'll gain
Details to know
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Assessments
9 assignments
Taught in English
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This course is part of the Python: A Guided Journey from Introduction to Application Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 4 modules in this course
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