Scikit‑Learn Free Course

Introduction to Scikit Learn

star 4.33  Beginner level 2.25 learning hrs 5.8K+ Learners

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

Instructor:

Mr. Anirudh Rao

Key Highlights

course content icon

Get free course content

handyman icon

Master in-demand skills & tools

quiz icon

Test your skills with quizzes

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!

Stand out with an industry-recognized certificate

local_fire_department

10,000+ certificates claimed, get yours today!

blue-tick

Get noticed by top recruiters

blue-tick

Share on professional channels

blue-tick

Globally recognised

blue-tick

Land your dream job

Certificate Image

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

user icon

5.8K+ learners enrolled so far

blue-tick

Get free course content

blue-tick

Master in-demand skills & tools

blue-tick

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
“Leveraging Scikit-learn for Practical Machine Learning”
I found Scikit-learn incredibly useful for hands-on machine learning projects. The simplicity and consistency of its API made it easy to implement various algorithms and preprocess data. I appreciated the comprehensive documentation and the availability of built-in datasets like IRIS and Boston House Prices, which made experimentation and learning more accessible. The integration with other libraries and the ease of model evaluation and selection were also highlights of my experience with Scikit-learn.
Reviewer Profile

5.0

Country Flag India
“Transformative Learning Journey in Data Science and ML”
The program offered an exceptional blend of theory and practical application, focusing on real-world scenarios. I appreciated the depth of hands-on projects, which spanned everything from data preprocessing to deploying machine learning models. The mentorship provided by experts made complex topics like model optimization, cross-validation, and deployment far more accessible. It has significantly strengthened my skills and confidence to tackle advanced analytics and machine learning projects.
Reviewer Profile
Nadeem Khan

5.0

“Scikit-learn: A Comprehensive Machine Learning Library in Python”
Scikit-learn is a powerful, open-source machine learning library in Python, known for its simplicity and flexibility. Built on top of libraries like NumPy, SciPy, and Matplotlib, it provides a wide range of algorithms for both supervised and unsupervised learning tasks. These include popular algorithms such as decision trees, random forests, k-nearest neighbors, support vector machines, and clustering techniques like k-means and hierarchical clustering.
Reviewer Profile
Wasiq Khan

5.0

“Fantastic Review of Scikit-Learn!”
This was an amazing short tour of Scikit Learn, and the instructor provided many details which inspire me to continue to look further and learn more. Thanks for providing this wealth of information.
Reviewer Profile

5.0

Country Flag India
“Excellent Choice for Anyone Looking for Machine Learning”
Scikit-learn is designed with simplicity in mind, making it accessible for beginners while still powerful enough for advanced users. Its consistent API allows for easy experimentation with different algorithms.
Reviewer Profile
Muhammad Okasha

5.0

“SKLearn for Machine Learning with KNN Algorithm”
I liked the way the instructor teaches, making it simple for the listener to understand. Keep it up!
Reviewer Profile

5.0

Country Flag Nigeria
“It Was Great, Enjoyed the Whole Process”
It was great; I enjoyed the whole process. The instructor did well to explain the concepts.
Reviewer Profile

5.0

Country Flag India
“Scikit-learn for Machine Learning”
The course was well-structured. I always loved the instructor for his enthusiastic lectures.
Reviewer Profile
Maham Tahir

5.0

“I took my first course from Great Learning about the Python Library Scikit Learn. I had a really great experience.”
The instructor of this course explains very well what Scikit Learn is and its applications. However, I think he needs to add more content to his slides.
Reviewer Profile
Syed Muhammad Shayan shah S

5.0

“Engaging Online Learning with Scikit-learn”
I appreciated how the curriculum was well-structured, gradually building from basics to advanced concepts.

Our course instructor

instructor img

Mr. Anirudh Rao

Data Science Expert

learner icon
780K+ Learners
video icon
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. 
 

Subscribe to Academy Pro+ & get exclusive features

$29/month

No credit card required

pro banner image

Learn from 40+ Pro courses

pro banner image

Access 500+ certificates for free

pro banner image

700+ Practice exercises & guided projects

pro banner image

Prep with AI mock interviews & resume builder

img icon FREE
Introduction to Data Science
star   4.5 73.3K+ learners
1 hr
img icon FREE
GIS Essentials: Data, Tools & Applications
star   4.53 3K+ learners
2 hrs

Similar courses you might like

img icon FREE
Statistics for Data Science
star   4.58 71K+ learners
7.5 hrs
img icon FREE
Statistical Methods for Decision Making
star   4.44 65.5K+ learners
2 hrs
img icon FREE
Measures of Central Tendency
star   4.43 3.8K+ learners
1.5 hrs
img icon FREE
Statistical Learning
star   4.48 15.7K+ learners
2.5 hrs

Related Data Science Courses

50% Average salary hike
Explore degree and certificate programs from world-class universities that take your career forward.
Personalized Recommendations
checkmark icon
Placement assistance
checkmark icon
Personalized mentorship
checkmark icon
Detailed curriculum
checkmark icon
Learn from world-class faculties

Other Data Science tutorials for you

Enroll For Free