Let’s assume you have some knowledge in python language and want to have a
career in either deep learning or machine learning, they’re no best libraries
to learn than scikit learn. This library is widely used and contains tons of
algorithms created by python but can perform various machine learning tasks
like classification and regression. In the past, I have shared the
best free Machine Learning courses
as well as best courses to learn the best Machine learning libraries like
Panda and in this article, I am going to share the best free resources to
library provides a range of supervised and unsupervised learning algorithms.
The nice part is that it is licensed under the BSD license, which means you
can use it for academic and commercial use. Many companies such as Google
and Netflix rely on this library to design recommendation systems and
If you have a passion for learning machine learning using this library,
complete this article for the best FREE courses to learn sci-kit-learn.
5 Best Free Scikit Learn Courses for Python and Data Science
Developers in 2022
Here is my list of best free online courses to learn Scikit learn library for
both Python developers and Data Scientists. These free courses are curated
from the best websites like Udemy and Coursera and they are created by experts
in Data Science and Machine learning field and trusted by thousands of
1. PracticalMachine Learning with Scikit-Learn
Many Youtube videos and articles don’t deep dive into the scikit learn
algorithms and explain well how to use it correctly, but this free course on
udemy show you how to use different ones effectively and create some machine
learning models that can perform tasks such as linear regression, multiple
linear regression, support vector machine, and more.
You will start by understanding and using the simplest machine learning
algorithm, linear regression, to predict value based on another value. You
will also see the polynomial regression that gives you the best possible
approximation for the relationship between two variables.
Then you will also look for the logistic regression that will be used to
guess the probability of occurring an event based on some data and
2. Linear Regression: Absolute Fundamentals
If you are still new to machine learning and want first to understand some
concepts about this field and make the simplest model, linear regression,
you’ve landed the best free course for this. The free udemy course will
teach you all of that and apply the linear regression model to a real
First of all, you will need to introduce the machine learning field and how
it works on data and then understand the linear regression through graphs
before applying it to a real dataset.
You will then download the COVID19 dataset and read your data, cleaning
them, which is essential before applying machine learning algorithms and
building your model, and finally creating a visualization of your data.
3. Introduction to Data Science using Python
Scikit learn is a library used by many job careers such as machine learning
engineers, deep learning, and data scientist. So if you want to have some
understanding of data science and how to use this library for making models,
then this free udemy course is the right for you without getting deeper into
math and statistics.
Starting by understanding what are machine learning and data science so you
can differentiate between them. Then get started with python and
scikit-learn library and learn the different machine learning algorithms
that can be done using that library and play around with anaconda and
Finally, learn how to use the KNN algorithm used in supervised learning for
classification and regression models.
4. AppliedMachine Learning in Python [Coursera]
This course is more practical than just a theory about machine learning
using scikit-learn. The course offered by The University of Michigan through
the Coursera platform consists of 34 hours of video and content. The good
thing you will learn in this course is where to use supervised and
unsupervised learning in your data.
Start by understanding machine learning concepts and their workflow by
exploring an example of a machine learning problem and fixing it using the
K-Nearest neighbors classification.
Then, explore various supervised learning algorithms such as SVM, evaluate
your models, and optimize your model performance. Finally, learn some
advanced machine learning algorithms such as random forests.
5. Machine Learning with Python [Coursera]
If you want truly build a career as a machine-learning engineer and create
some projects that you can show to your employee, then you’ve landed on the
right course. This machine learning with python course will show you how to
build projects such as predicting economic trends and recommendation
Starting by understanding the application of machine learning in healthcare
and telecommunication. Then, implement the linear regression on a real
dataset, evaluate your model, and perform classification using different
Finally, learn about how recommendation systems work and build one using
By the way, instead of joining these courses and specialization individually, you can also join the Coursera Plus, a subscription plan from Coursera which gives you unlimited access to their most popular courses, specialization, professional certificate, and guided projects.
That’s all about the best free resources for the Scikit Learn library any Python
developer or Data Scientist can use to learn this useful library. The
article has discussed the best FREE resources to learn machine learning
using sci-kit learn and start having a career as a machine learning
engineer. Of course, those are very introductory courses, and you have o
learn more to achieve your goals
Other Data Science and Machine Learning articles you may like
Thanks for reading this article so far. If you like these
best free Scikit-Learn online training courses for beginners then please share them with your friends and colleagues. If you have
any questions or feedback, then please drop a note.
P. S. – If you are keen to learn Scikit learn and Machine learning and
don’t mind paying a few bucks to learn a valuable skill like this then you can
also check out
100+ Exercises – Python – Data Science – sci-kit-learn
course on Udemy. This is a hands-on course, full of exercises and
practical examples for Scikit Learn.
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