Scikit‑Learn Free Course

Introduction to Scikit Learn

star 4.33  Beginner level 2.25 learning hrs 5.7K+ Learners

Scikit-Learn is an essential python library for all machine learning applications and solutions.

Instructor:

Mr. Anirudh Rao

Key Highlights

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About this course

Scikit-learn, previously known as scikits.learn is a NumFOCUS fiscally sponsored project and a free software library in machine learning to support Python programming language. It includes various features to interoperate with Python numerical and scientific libraries such as NumPy and SciPy. These features include classification, regression, and clustering algorithms like support vector machines (SVM), gradient boosting, k-means, random forests and DBSCAN. 
 
This free Scikit-Learn course will help you understand the subject better by walking through various concepts starting from the introduction and following with demonstration in Python, guiding you through installation, its support for algorithms, applications, advantages and disadvantages. With these concepts, you will be able to understand various metrics that add one more skill to your bucket for your journey towards the Data Science domain. 
 
Great Learning proffers various Postgraduate Programs in Data Science domains. You can register for the best online Data Science course and earn a certificate from a renowned university. As an ed-tech organization, we aim to empower our learners by helping them achieve their dream careers. We cater to enthusiasts willing to bring global transition in their desired domain. Join us to explore our programs with millions of learners across the globe. Happy learning!

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Course outline

Practical Demo in Python

What is Scikit learn?

Installing Scikit learn

Support for Algorithms

Applications of Scikit learn

Advantages and Disadvantages

Here in this module, you will learn some advantages and disadvantages of a linear regression model. The tutor will give you some examples to help you better understand the concepts. 
 

Get access to the complete curriculum once you enroll in the course

Introduction to Scikit Learn

rating icon 4.33

2.25 Hours

Beginner

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5.7K+ learners enrolled so far

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Get free course content

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Master in-demand skills & tools

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Test your skills with quizzes

Trusted by 10 Million+ Learners globally

Learner reviews of the Free Courses

4.33
60%
26%
9%
2%
3%
Reviewer Profile

4.0

Country Flag India
“Empowering Machine Learning: Scikit-learn”
Scikit-learn is a powerful Python library for machine learning, offering tools for data preprocessing, classification, regression, clustering, and model evaluation. Its simplicity and efficiency make it ideal for both beginners and experts.
Reviewer Profile

4.0

Country Flag India
“A Deep Dive into Machine Learning with Scikit-learn”
I enjoyed exploring Scikit-learn's user-friendly tools for machine learning, especially the built-in cross-validation support and variety of supervised learning algorithms. The practical exercises on real datasets made understanding concepts like feature scaling, model evaluation, and optimization much easier and more enjoyable.
Reviewer Profile

5.0

“Great Learning Experience, Easy to Follow”
I really enjoyed this Scikit-learn course and thought it was exceptionally well-designed. The instructors did a great job of starting from the very fundamentals of Scikit-learn and gradually building up my understanding. The lessons progressed in a logical, step-by-step manner that made it easy to follow along and apply what I was learning.
Reviewer Profile

4.0

Country Flag India
“Comprehensive Scikit-learn Course”
The Scikit-learn course effectively covers installation, algorithms, applications, and practical demos in Python, making it a valuable resource for learners.
Reviewer Profile

4.0

Country Flag India
“Enjoyable Learning and a Great Session”
I really enjoyed the course content and found it to be very informative. The instructor was engaging and knowledgeable, and I appreciated the interactive elements of the class. However, I think it would be beneficial to have more practical exercises and real-life examples to reinforce the concepts. Overall, it was a great learning experience, and I feel that I gained valuable knowledge from the course. Thank you for the opportunity to provide feedback!
Reviewer Profile

5.0

Country Flag India
“Transformative Learning Experience with Great Learning”
I love how this course blends theory with practical applications. The hands-on projects, expert mentorship, and real-world case studies provide an immersive learning experience, making complex concepts easy to grasp.
Reviewer Profile

4.0

Country Flag India
“Gained Knowledge on Scikit-learn and Deployment”
I liked the simple video system. It's very convenient and the free course certificate is a bonus.
Reviewer Profile

5.0

Country Flag India
“Good Videos and Training Instructor, Easy Learning”
Precise topic coverage, good quality videos, and a well-trained instructor.
Reviewer Profile

5.0

Country Flag India
“Introduction to Scikit-learn Library”
Introduction, what is Scikit-learn, installation, support for algorithms, advantages, disadvantages, and implementation.
Reviewer Profile

5.0

Country Flag United States
“Easy and Accessible Learning: Scikit-learn”
The course was free and I learned a lot about a topic that may seem complicated from the outside.
Reviewer Profile

4.0

Country Flag India
“This course helped to gain knowledge about scikit learn”
as mentioned this course has good curriculum ,skills and tools for scikit learn.
Reviewer Profile

5.0

Country Flag India
“Good Experience. Nice explanation ”
Everything about scikit learn library. Demonstration of working of KNN algorithm.
Reviewer Profile

5.0

Country Flag India
“Scikit learn is Easy to follow and understand through this course”
Crisp and clear explanation by the instructor. Quizzes & assignment.
Reviewer Profile

4.0

Country Flag India
“learned basics of the scikit-learn.”
learned about python packages, how to install scikit-learn, about the algorithms scikit-learn supports.
Reviewer Profile

5.0

Country Flag India
“Scikit-learn”
good course to get a quick overview of scikit-learn
Reviewer Profile

4.0

Country Flag India
“this course is very good for beginner ”
Scikit-learn a wide range of cross-validation techniques, making it a powerful library for model evaluation and selection.
Reviewer Profile

5.0

Country Flag India
“Introdcution Of Scikit-learn in Machine Learning”
I liked the way he explained the concepts of Scikit-learn in Explaination
Reviewer Profile

5.0

Country Flag United States
“I am a beginner and it is good that i learned most of scikit-learn”
I liked every topic especially the examples given by instructor are easy to understand the topic
Reviewer Profile

5.0

Country Flag India
“Instructor explained scikit learn really well ”
It was very easy follow learned about scikit learn is really good
Reviewer Profile

5.0

Country Flag India
“Helped gain understanding in a simplified manner”
It gave a concise view of the library but still covered the essential topics

Our course instructor

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Mr. Anirudh Rao

Data Science Expert

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778.6K+ Learners
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79 Courses
Anirudh has been working in the field of Data Science and has expertise over Python, Machine Learning and other concepts in the field of data analysis. He is also proficient in the concept of Deep Learning and its usage in a production environment. Expertise extends towards working on various projects in the domain of Artificial Intelligence and Neural Networks as well.

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 is Scikit-learn used for?

Scikit-learn comes under the Machine Learning library for Python. It is developed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. It can be used for:

  • Data Preprocessing
  • Dimensionality Reduction
  • Supervised Learning
  • Unsupervised Learning
  • Model Selection

Is Scikit-learn hard to learn?

Scikit-learn is not difficult to learn, but it does require some prior knowledge of machine learning concepts. The scikit-learn library is well-documented, and there are many resources available to help users get started which makes it easier for beginners to start learning it. You can start with the basics of Scikit-learn by enrolling in Great Learning’s free Scikit-learn course.

Should I learn Scikit-learn or TensorFlow?

The reply to this query depends on your specific needs and goals. If you want to learn Machine Learning to build models and perform predictions, then you should learn Scikit-learn. If you desire to learn Machine Learning in order to be able to build Deep Learning models, then you should learn TensorFlow. If you are more interested in Scikit-learn, enroll in Great Learning’s free Scikit-learn course and make your basics stronger.

Will I get a certificate after completing this scikit-learn free course?

Yes, you will get a certificate of completion for scikit-learn after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.
 

How much does this scikit-learn course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of scikit-learn can get started with this course.
 

Is there any limit on how many times I can take this free course?

Once you enroll in the scikit-learn course, you have lifetime access to it. So, you can log in anytime and learn it for free online.
 

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

Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

Why choose Great Learning Academy for this free scikit-learn course?

Great Learning Academy provides this scikit-learn course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts.

Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

What are the steps to enroll in this scikit-learn course?

Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.
 

Will I have lifetime access to this free scikit-learn course?

Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to. 
 

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