Free Machine Learning Course

Basics of Machine Learning

star 4.39  Beginner level 3.75 learning hrs 149.3K+ 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.

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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

149.3K+ learners enrolled so far

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Learner reviews of the Free Courses

4.39
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Reviewer Profile

4.0

India
“Exceptional Learning Experience in Machine Learning”
The instructors demonstrated impressive expertise and were always available to assist, fostering an engaging and supportive learning environment. I particularly valued the hands-on projects, which allowed me to apply the knowledge gained in real-world scenarios. The resources provided, including datasets and reading materials, were of high quality and significantly enhanced my understanding. Overall, I would highly recommend this course to anyone interested in diving into the field of Machine Learning, and I look forward to exploring more advanced topics in future offerings.
Reviewer Profile

4.0

“Explored Key Concepts in Machine Learning and Linear Regression”
Completing the Introduction to Machine Learning and Linear Regression courses at Great Learning was an enriching experience. I gained valuable insights into the fundamentals of machine learning, data analysis, and model evaluation. The hands-on projects allowed me to apply theoretical knowledge in real-world scenarios. I'm excited to leverage these skills in my future endeavors and contribute to data-driven decision-making in various fields.
Reviewer Profile

5.0

India
“Comprehensive Course on Machine Learning”
This course offers an excellent overview of machine learning concepts, from supervised and unsupervised learning to practical applications like logistic regression and linear regression. The materials are well-structured, making complex topics easier to understand. The hands-on projects enhance learning and provide real-world experience. The instructors are knowledgeable and supportive, ensuring a great learning environment.
Reviewer Profile

4.0

India
“Exceptional Instruction in Machine Learning”
I had a great experience in the course. The instructor was very knowledgeable and effectively conveyed complex concepts. We covered various topics, including regression and essential mathematical principles, which enhanced my understanding significantly. Additionally, the instructor discussed the steps in machine learning in quite some detail, making it easier to grasp the overall process. Overall, I am very happy with the program and feel well-equipped with the knowledge I've gained.
Reviewer Profile
Asad Abbas

5.0

“Machine Learning Fundamentals: A Beginner's Guide”
My curiosity about artificial intelligence recently led me to explore the exciting world of machine learning. Through a series of engaging videos, I embarked on a journey to grasp the fundamentals of this powerful technology. It quickly became clear that machine learning is a fascinating subfield of AI, where algorithms learn from data to make predictions and intelligent decisions. This newfound knowledge ignited a spark in me, and I'm eager to delve deeper into its applications.
Reviewer Profile

5.0

India
“Gained Practical Machine Learning Skills”
The Machine Learning course provided a solid foundation, combining theory and hands-on practice. The content was well-structured, and I gained valuable skills in implementing and understanding machine learning models.
Reviewer Profile

5.0

India
“Thorough Introduction to Key Machine Learning Concepts”
I appreciated the clear explanations of fundamental concepts such as supervised and unsupervised learning, model evaluation, and feature selection. The practical examples helped solidify my understanding, and the hands-on exercises allowed me to apply what I learned in real-time. Additionally, the instructor's enthusiasm for the subject made the learning experience engaging and inspiring. Overall, this course has provided me with a solid foundation in machine learning that I can build upon.
Reviewer Profile

5.0

Philippines
“A Comprehensive Learning in Machine Learning and Linear Regression”
The instructor's teaching style is highly informative and engaging. He provided in-depth explanations of the concepts, making it much easier for me to understand and appreciate the material.
Reviewer Profile

5.0

India
“Well-Organized Course Structure”
The instructors were highly knowledgeable and presented the material in an engaging way, utilizing real-world examples to illustrate key concepts. The hands-on projects were particularly valuable, allowing me to apply theoretical knowledge and gain practical experience in each learning paradigm.
Reviewer Profile

4.0

India
“Hands-On Experience in Machine Learning”
Gained hands-on experience in machine learning, covering key algorithms, data preprocessing, model building, and evaluation. Applied concepts to real-world projects, enhancing skills in Python, data analysis, and predictive modeling.

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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