Free Machine Learning Course

Basics of Machine Learning

star 4.39  Beginner level 3.75 learning hrs 146.3K+ 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.

Ready to develop a career in Machine Learning? Machine Learning course is all up for helping you reach your career goals. Enroll in this appreciated professional program and achieve a certificate that attests to your skills.

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

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3.75 Hours

Beginner

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146.3K+ learners enrolled so far

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Learner reviews of the Free Courses

4.39
64%
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Reviewer Profile

5.0

“Engaging Deep Learning and ML Basics”
I thoroughly enjoyed the deep dive into machine learning basics. The curriculum was well-structured, and the instructor's explanations of complex concepts like supervised learning were easy to follow. The hands-on quizzes and assignments helped solidify my understanding, and the course tools were user-friendly.
Reviewer Profile

5.0

“Comprehensive and Engaging Course on Machine Learning”
This course on Great Learning provided an excellent introduction to machine learning. The curriculum was well-structured, covering essential concepts in a clear and concise manner. I appreciated the quizzes and assignments, which reinforced learning and allowed practical application of theoretical knowledge. Overall, it was a great experience that boosted my confidence in understanding machine learning basics.
Reviewer Profile

5.0

“Highlight of My Learning Experience”
I thoroughly enjoyed the course, especially the well-structured curriculum and the engaging quizzes and assignments. The instructor's clear explanations and the practical tools provided were invaluable. The depth of the topics covered and the ease of following along made the learning experience both enjoyable and enriching. Overall, this course has significantly enhanced my understanding and skills in the subject matter.
Reviewer Profile

5.0

Country Flag Australia
“Comprehensive and Practical: A Review of the Machine Learning Course at Great Learning”
The Machine Learning course at Great Learning is highly commendable for its comprehensive and well-structured curriculum. It offers a perfect blend of theory and practical application, enabling learners to understand the fundamentals and apply them to real-world problems. The course modules are meticulously designed, covering essential topics such as supervised and unsupervised learning, regression, classification, and advanced techniques like ensemble models and deep learning.
Reviewer Profile

5.0

“This is a Great Online Course for Learning in Detail About the Basics of Machine Learning”
The instructor was a great influence on me. This was the best course I have ever enrolled in.
Reviewer Profile

5.0

“The Use of Examples During Explanations and the In-Depth Dive into Topics and Subtopics”
The fact that the instructor was engaging the students who were online, getting a brief summary of what we were to cover before even getting started, was impressive. Furthermore, the use of diagrams and formulas during explanations really drove the point home, and the instructor would further illustrate by drawing different graphs illustrating various examples. The instructor was thorough and patient with everyone, ensuring nobody was left behind and kept asking if anyone had questions. All in all, it was quite interactive, and the time allocated for learning and the quiz was adequate.
Reviewer Profile

5.0

Country Flag United Arab Emirates
“Grasping the Power of Neural Networks and Mastering the Art of Feature Engineering”
The most exciting part of my learning journey was building a neural network to classify handwritten digits. Seeing the model learn complex patterns from raw pixel data and achieve high accuracy was truly rewarding. It solidified my understanding of deep learning's power and potential.
Reviewer Profile

5.0

“An Enriching Experience That Sharpened My Skills in Machine Learning”
My learning journey has been a transformative experience, where I gained practical knowledge in machine learning. It sharpened my problem-solving skills and expanded my understanding of advanced concepts, ultimately preparing me for real-world challenges.
Reviewer Profile

5.0

Country Flag Malaysia
“Easy and Quick Machine Learning for Beginners to Learn Online”
The course struck the perfect balance between theory and hands-on practice, making complex topics like algorithms, supervised and unsupervised learning, and data preprocessing surprisingly approachable. What stood out most was the instructor’s ability to break down abstract concepts into simple, relatable explanations, supported by well-structured examples. The use of real-world datasets in exercises made the learning experience practical and engaging.
Reviewer Profile

5.0

“Course Feedback: Valuable Insights for Future Improvements and Success”
I appreciated the engaging content and the instructor's clear explanations. However, I believe adding more interactive elements, like group discussions or quizzes, would enhance the learning experience. Additionally, providing more real-world examples would help relate the concepts to practical applications. Overall, it was a valuable course, and I look forward to future improvements!

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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