Free Machine Learning Course

Basics of Machine Learning

star 4.39  Beginner level 3.75 learning hrs 149.5K+ 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

3.75 Hours

Beginner

149.5K+ learners enrolled so far

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Learner reviews of the Free Courses

4.39
64%
25%
7%
1%
3%
Reviewer Profile

5.0

India
“Easy to Understand Throughout with Proper Explanation”
Important topics like regression were properly explained with real-world examples, and student interaction and doubt solving made it much easier to understand.
Reviewer Profile

5.0

“Great Intro to Machine Learning - Highly Recommended”
Just finished the Machine Learning course, and it was awesome! The lessons were clear and easy to follow, even for someone new to the topic. I loved the practical projects—they really helped me get the hang of things. If you’re looking to dive into ML, this course is a solid choice!
Reviewer Profile

4.0

India
“Easy to Learn and Understand, with Great Notes”
The online machine learning class was well-organized and informative. The content covered a broad range of topics with clear explanations and practical assignments that reinforced learning. The instructor was knowledgeable and engaging.
Reviewer Profile

4.0

India
“Course Provides a Comprehensive Overview of Key Concepts and Applications”
The course is well-structured, making complex topics accessible and applicable. Overall, it equips learners with a solid foundation in machine learning and its practical implementations.
Reviewer Profile
Mahnoor Malik

5.0

“Very Informative and Easy to Understand Course”
I learned new and complex concepts very easily. The instructor was so good.
Reviewer Profile

5.0

Philippines
“Application of Machine Learning in Real Situations”
The way the professor gives examples is great and makes it more understandable. I like how the professor explains it with given real-life examples.
Reviewer Profile

5.0

India
“ML Enables Data-Driven Decisions, Automates Tasks, and Discovers Patterns Efficiently.”
Machine learning empowers data-driven decision-making, automates complex tasks, uncovers hidden patterns, enhances predictions, personalizes experiences, and drives innovation across industries, transforming how we analyze and interact with data.
Reviewer Profile
Laiba Maheen

5.0

“Great Learning Offers Expert-Led Courses and Hands-On Projects.”
Great Learning offers a comprehensive and practical approach to education with high-quality content and expert instructors. The platform provides valuable insights and hands-on experience, enhancing theoretical knowledge and practical skills. Its user-friendly interface and flexible learning options make it an excellent choice for professional growth.
Reviewer Profile

5.0

India
“Insightful Learning and In-Depth Content”
The mentor is really awesome; he goes in-depth to explain the topics.
Reviewer Profile

5.0

Malaysia
“Exploring Machine Learning: Enhancing Knowledge and Skills in the Field”
Acquire in-depth insights into machine learning, aligning with Business Management course objectives to broaden understanding and application in data-driven decision-making.

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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