Free Machine Learning Course

Basics of Machine Learning

star 4.39  Beginner level 3.75 learning hrs 148.6K+ 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

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148.6K+ learners enrolled so far

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Machine Learning Essentials with Python
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Learner reviews of the Free Courses

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

5.0

Country Flag India
“Introduction to Machine Learning Concepts, Algorithms, and Practical Applications in Data Analysis.”
I appreciated how the course provided a clear understanding of core machine learning concepts, from supervised and unsupervised learning to model evaluation. The practical examples and hands-on projects allowed me to apply theory to real-world problems, enhancing my confidence in using machine learning techniques. The step-by-step approach helped break down complex ideas into easily digestible segments.
Reviewer Profile

5.0

Country Flag United States
“Highlight Learning Experiences by Showcasing Key Lessons, Skill Development, Growth from Challenges, Practical Application, and Teamwork Insights.”
Each learning experience should connect to a broader narrative of personal growth, illustrating how it prepares you for future challenges or roles.
Reviewer Profile

5.0

Country Flag India
“The Well-Structured Curriculum and Engaging Materials Made the Learning Process Enjoyable and Efficient.”
I am writing to express my sincere gratitude for the certification. I am honored to have received this recognition and appreciate the time and effort that went into evaluating my work. This certification is a testament to specific skills or knowledge gained. I am excited to apply these skills to my future endeavors. Thank you once again for this wonderful opportunity.
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

4.0

Country Flag India
“It Was Good to Get the Full Knowledge on Machine Learning from Scratch”
I would like to get more assessments based on learnings. In that way, we will gain much more confidence.
Reviewer Profile

5.0

Country Flag India
“I Loved How the Tutor Explained the Linear Regression”
I was finding linear regression a bit difficult, but I could understand everything that was taught in the video, and I could answer and pass the test in just one attempt.
Reviewer Profile

5.0

Country Flag India
“Technology: Exploring New Innovations and Solving Complex Problems. Education: Helping Others Learn and Grow Through Knowledge-Sharing.”
1. Technology: Technology is an ever-evolving field that includes areas like software development, artificial intelligence, data science, cybersecurity, and more. It's driven by innovation and problem-solving, which makes it incredibly dynamic and impactful. 2. Building and Creating: Developing new software or hardware solutions, creating apps, websites, or systems that people use daily. 3. Problem-Solving: Tackling complex issues and finding efficient solutions, like optimizing algorithms or automating tasks.
Reviewer Profile

4.0

“Learning New Things About Machine Learning and Knowing How to Use Them.”
Learning machine learning opens doors to advanced technology, enabling you to build intelligent systems that can analyze data, make predictions, and automate processes. It enhances problem-solving skills and offers the ability to work with cutting-edge tools in fields like AI, data science, and automation. Machine learning is in high demand across industries, providing excellent career opportunities. With its ability to transform businesses and improve decision-making, mastering machine learning is a valuable asset for the future.
Reviewer Profile

5.0

Country Flag India
“Excellent Insight into Machine Learning”
The course provided a deep dive into core machine learning concepts with hands-on tools and techniques. The practical examples and real-world applications made it both engaging and highly relevant. It was easy to follow, and the assignments effectively reinforced my understanding. An exceptional learning experience overall!
Reviewer Profile

5.0

“My Journey Through the Basics of Machine Learning”
The course provides a solid foundation in machine learning, offering both theoretical insights and practical knowledge. It introduces key concepts such as supervised and unsupervised learning, regression, classification, and more, making it a great starting point for anyone looking to understand the fundamentals of machine learning.

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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