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
Taught in English
Instructor: Adwith Malpe
Included with 
Course
Gain insight into a topic and learn the fundamentals
3.4
(11 reviews)
Beginner level
Recommended experience
12 hours (approximately)
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
Shareable certificate
Add to your LinkedIn profile
Assessments
9 quizzes
Course
Gain insight into a topic and learn the fundamentals
3.4
(11 reviews)
Beginner level
Recommended experience
12 hours (approximately)
Flexible schedule
Learn at your own pace
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
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
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Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 4 modules in this course
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. You do not need a programming or computer science background to learn the material in this course. This course is open to anyone who is interested in learning how to code and write programs in Python. We are very excited that you will be learning with us and hope you enjoy the course!
What's included
1 video1 reading
In this module you will learn about machine learning and how each branch of machine learning works in Python.
What's included
6 videos12 readings3 quizzes
In this module, you will learn about two other supervised machine learning models: k-nearest neighbors (kNN) and support vector machines (SVM). You will learn under which conditions you’d use these two models. You will also learn about unsupervised machine learning models and how they work.
What's included
4 videos11 readings3 quizzes1 discussion prompt
In this module, you will gain an overview of advanced machine learning topics, including deep learning, image processing, and generative adversarial networks (GANs).
What's included
4 videos6 readings3 quizzes1 peer review1 discussion prompt
Instructor
Offered by
Recommended if you're interested in Software Development
Arizona State University
Arizona State University
Arizona State University
Arizona State University
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Frequently asked questions
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