Free Machine Learning Course

Basics of Machine Learning

star 4.39  Beginner level 3.0 learning hrs 150K+ Learners

Seize the opportunity to learn the Basics of Machine Learning from our free course. Comprehend concepts like supervised and unsupervised Machine Learning, linear regression, Pearson's coefficient, and coefficient of determinant.

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About this course

This free course starts by providing a brief introduction to Machine Learning. You will understand the purpose of its algorithms and go through its industry use cases. Further, you will learn about the mathematical space where Machine Learning occurs. You will then move on to the critical concepts like supervised Machine Learning, linear regression, Pearson's coefficient, best fit line, and coefficient of determinant. Lastly, you will look through a case study to understand these concepts better. Enroll in this free Basics of Machine Learning course and complete the quiz at the end to earn a certificate.

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Course outline

Introduction to Machine Learning and Linear Regression

Data is the soul of Machine Learning, and there are specific methods to deal with it efficiently. This module first introduces Machine Learning and talks about the mathematical procedures involved. You will learn about supervised and unsupervised learning, Data Science Machine Learning steps, linear regression, Pearson's coefficient, best fit line, and coefficient of determinant. Lastly, you will be going through a case study to help you effectively comprehend Machine Learning concepts. 

 

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Basics of Machine Learning

rating icon 4.39

3.0 Hours

Beginner

150K+ learners enrolled so far

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Learner reviews of the Free Courses

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Reviewer Profile
MUBASHIR HABIB

5.0

★★★★ ★
“Machine Learning Is Good and Enough”
Machine learning is a transformative technology with significant potential across various fields. It excels at analyzing complex datasets, uncovering patterns, and making predictions based on data. Its applications span from personalized recommendations and fraud detection to medical diagnosis and autonomous systems. However, while machine learning is powerful, it is not a one-size-fits-all solution. Its effectiveness depends on the quality and quantity of data, the appropriateness of the chosen algorithms, and the specific problem at hand. In some cases, traditional methods or a combination of machine learning with other approaches may yield better results. Overall, machine learning is a valuable tool that, when used effectively, can drive innovation and solve complex problems. Nonetheless, it's essential to evaluate its suitability for each unique application and complement it with domain expertise and other analytical techniques as needed.
Reviewer Profile

5.0

★★★★ ★
India
“Machine Learning Is a Dynamic and Rapidly Evolving Field, Offering Powerful Tools for Data Analysis and Predictive Modeling.”
Machine learning is a dynamic and rapidly evolving field, offering powerful tools for data analysis and predictive modeling.
Reviewer Profile

5.0

★★★★ ★
“Extremely Insightful and Well-Structured Course!”
Informative, engaging, practical! Loved it! Course content is clear, and examples are helpful!
Reviewer Profile

5.0

★★★★ ★
India
“It Was a Very Informative Session, I Was Able to Gain More Knowledge”
It was a very informative session, and I was able to gain more knowledge. This is one such platform where you can sharpen your skills for free.
Reviewer Profile

4.0

★★★ ★ ☆
“I Am Very Pleased with This Free Course. It Increases My Knowledge Depth in the Field of Machine Learning.”
I like the instructor and his teaching methods. Thanks to the Great Learning team.
Reviewer Profile

4.0

★★★ ★ ☆
Peru
“Good Course That Has Allowed Us to Expand the Concepts of the Topics and Their Practical Application.”
Good course that has allowed us to expand the concepts of the topics and their practical application.
Reviewer Profile

5.0

★★★★ ★
“The Overall Learning Experience Was Good. The Instructor Was Top Notch.”
The overall learning experience was good. The instructor was top-notch.
Reviewer Profile

5.0

★★★★ ★
India
“Basics of Machine Learning Introduction”
Highly reliable and consistent content. Videos are more precise.
Reviewer Profile

5.0

★★★★ ★
Philippines
“Basics of Machine Learning Is Important.”
The machine learning concepts play a vital role in computing.
Reviewer Profile

5.0

★★★★ ★
“This Course Is Very Good for Me. I Am Happy to Learn It.”
I am very interested in Data Science, Machine Learning, and Artificial Intelligence. I will pursue a career in this field. I will take all the courses related to this field.

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.

What are the prerequisites required to learn this free Machine Learning course?

No prerequisites are required for this course, and any fresher who wants to start with Machine Learning basics can register for this free course.

 

 

Will I have lifetime access to this free course?

You can revisit this Basics of Machine Learning course at any time for free.

What are my next learning options after this Basics of Machine Learning course?

If you are looking to dive into advanced concepts of Machine Learning, look into Great Learning’s Best Machine Learning Course and efficiently build your career in Machine Learning.

 

What is Machine Learning used for?

Machine Learning is a form of data analysis that automates the building of analytical models. It's a field of Artificial Intelligence based on the idea that computers can learn from data, identify patterns, and draw conclusions with little or no human input.

Why is Machine Learning so popular?

There are a few reasons why Machine Learning is becoming increasingly popular:

1. Machine Learning can be used to automatically find patterns in data, which is especially useful for data that is too large or complex for humans to process manually.

2. It can be used to make predictions about future events, which is valuable for businesses that want to make decisions based on data-driven insights.

3. It is becoming more accessible due to advancements in technology, leading to more businesses and individuals utilizing Machine Learning to solve complicated problems efficiently.

 

What jobs demand that you learn Machine Learning?

Some of the jobs that demand you learn Machine Learning are Data Scientist, Machine Learning Engineer, Research Scientist, and Business Intelligence Analyst.

 

What knowledge and skills will I gain upon completing this Machine Learning course for beginners?

Through this course, you will grasp the fundamentals of Machine Learning, where you will get introduced to it and learn its essential topic called Linear Regression. You will also gain knowledge regarding Pearson's Coefficient and Coefficient of Determinant.

How much does this Basics of Machine Learning course cost?

This Great Learning Academy course is for free, and interested students can directly enroll in it without paying any money.

 

Is there a limit on how many times I can take this Basics of Machine Learning course?

This free course doesn't have any limit on its access. Learners can easily revisit the course and revise the concepts whenever they feel like it.

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

Yes, you are free to take up more than one Great Learning Academy course as per your requirements.

Why choose Great Learning Academy for this Basics of Machine Learning course?

Great Learning Academy has benefited many learners to attain their career goals much more efficiently. Thus, this is your chance to get hold of this excellent opportunity and get thorough with your Basics of Machine Learning.

What are the steps to enroll in this course?

  1. Through the Search bar placed at the top of the Great Learning Academy page, search for the "Basics of Machine Learning" course. 
  2. Register into the course by clicking on the enroll button visible on the course page and start learning.

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