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Supervised Machine Learning Tutorial

star 4.43&nbsp Beginner level 1.5 learning hrs 2.4K+ Learners

Instructor:

Prof. Mukesh Rao

Key Highlights

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About this course

Supervised Learning is where you have input variables (x) and an output variable (Y), and you use an algorithm to learn the mapping function from the input to the output. The goal is to approximate the mapping function so well that when you have new input data (x), you can predict the output variables (Y) for that data. This course will teach you the basics of Supervised Machine Learning, Linear Regression, and more. You will learn how it is different from other types of machine learning? What are the different techniques used? Several supervised machine learning techniques are explained using an example of reselling a car, determining the best educational institution, and other real-world scenarios.

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Course outline

What is Supervised Machine Learning?

Why The Name Linear Regression?

Characteristics of Supervised Machine Learning

Get access to the complete curriculum once you enroll in the course

Supervised Machine Learning Tutorial

rating icon 4.43

1.5 Hours

Beginner

2.4K+ learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

Trusted by 10 Million+ Learners globally

Learner reviews of the Free Courses

4.43
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Reviewer Profile

5.0

Canada
“Supervised Machine Learning Tutorials”
I really like the tutor's style as well as the detailed concept descriptions.
Reviewer Profile

5.0

Singapore
“The lessons are instructive and easy to follow”
Even without prior knowledge and experience in this area, I can still follow the lessons.
Reviewer Profile

5.0

India
“Supervised machine learning model tutrial”
Supervised machine learning model tutrial is a nice course
Reviewer Profile

5.0

India
“practical and learning types of machine Learning ”
I enjoyed the interactive and practical approach to understanding complex topics, which made learning engaging and intuitive. The clear explanations and real-world examples helped me grasp concepts effectively and stay motivated.
Reviewer Profile

5.0

India
“Supervised Machine Learning Tutorials”
t is very useful and helpful to improve skills and it very easy to learn in easy way
Reviewer Profile

5.0

Canada
“Great Professor! Makes concepts easy to understand”
Great Professor! Makes concepts easy to understand. Thank you

Our course instructor

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Prof. Mukesh Rao

Senior Faculty, Academics, Great Learning

Machine Learning Expert

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185.8K+ Learners
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17 Courses
Prof. Mukesh Rao is a senior faculty of Data Science in Great Learning and he is responsible for designing data science courses offered and mentoring students with capstone projects. Prof. Mukesh has over 20 years of industry experience in Market Research, Project Management, and Data Science and has conducted extensive corporate training in Data Science and Big Data. He also works as a Data Science Trainer & Consultant for 4v Technologies and conducts training in core big data technologies and data science. He has headed Big Data teams at SourceOne and has worked with tech giants like Wipro Technologies.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

Will I get a certificate after completing this Supervised Machine Learning Tutorial free course?

Yes, you will get a certificate of completion for Supervised Machine Learning Tutorial after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.

How much does this Supervised Machine Learning Tutorial course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Supervised Machine Learning Tutorial can get started with this course.

Is there any limit on how many times I can take this free course?

Once you enroll in the Supervised Machine Learning Tutorial course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

Why choose Great Learning Academy for this free Supervised Machine Learning Tutorial course?

Great Learning Academy provides this Supervised Machine Learning Tutorial course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

What are the steps to enroll in this Supervised Machine Learning Tutorial course?

Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.

Will I have lifetime access to this free Supervised Machine Learning Tutorial course?

Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to.

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