![]()



Supervised Machine Learning: Regression and Classification



Top Instructor
1,237,972 already enrolled
Ask Coursera
Gain insight into a topic and learn the fundamentals.
32,841 reviews
Beginner level
Recommended experience
Flexible schedule
3 weeks at 10 hours a week
Learn at your own pace
98%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
32,841 reviews
Beginner level
Recommended experience
Flexible schedule
3 weeks at 10 hours a week
Learn at your own pace
98%
Most learners liked this course

Build your subject-matter expertise
- 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 3 modules in this course
In the first course of the Machine Learning Specialization, you will:
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructors
Instructor ratings
(11,570 ratings)

Top Instructor
DeepLearning.AI
51 Courses9,929,504 learners
Offered by
![]()


Course

Course
Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
- 5 stars
91.54%
- 4 stars
7.24%
- 3 stars
0.68%
- 2 stars
0.16%
- 1 star
0.36%
Showing 3 of 32841
RG
Reviewed on Aug 30, 2024
The course was excellent, and I gained valuable knowledge throughout. I am also grateful for the financial aid, which allowed me to complete the program successfully. Thank you for this opportunity.
AC
Reviewed on Oct 7, 2024
great course. Nice explanation even if you are not familiar with certain mathematical concepts Like Gradient. I would recommend having some mathematical base to ease the understanding of the course.
YD
Reviewed on Oct 2, 2022
Excellent course. Intended as a refresher, and had a better understanding of feauture engineering, scaling, and logistic regression. Good hands on labs were very practical, engaging and rewarding.

Break down barriers to learning with big savings


Start with easy savings for hard-working teams

Frequently asked questions
More questions
Financial aid available,