Wednesday, December 8, 2021

Top 5 Courses to Learn Scikit-Learn Library in 2024 - Best of Lot

Hello folks, if you want ot learn Scikit-Learn library and looking for the best resources like online courses and classes then you have come to the right place. Earlier, I have shared the best Python courses as well as the best courses to learn Data Science and in this article, I am going to share the best courses to learn Scikit-Learn library, one of the most popular Python libraries for Machine Learning along with TensorFlow, Keras, and Pytorch. Scikit-learn provides a selection of efficient tools for machine learning and statistical modeling including classification, regression, clustering, and dimensionality reduction via a consistent interface in Python and it is one of the essential skills for professional Data scientists and Machine Learning engineers.

Machine learning uses the data to learn and improve its functionalities without being programmed to perform that action. This data can be in many forms, such as text, numbers, pictures. It is used in many applications, from recognizing objects inside images to speech recognition and the medical industry to identify diseases like cancers.

Most developers use the python programming language to build a machine learning model because this language supports many packages for creating these kinds of applications, and one of the best packages is known as Scikit-Learn, which is an open-source library licensed under the BSD license, which makes it free for commercial use. 

It contains a lot of algorithms for solving supervised and unsupervised machine learning problems and more.

5 Best Scikit-Learn Online Courses for Beginners in 2024

Without wasting any more of your time here is a list of the best Scikit-Learn online courses to join in 2024. This is a curated list of courses from sites like Udemy, Courser, and Datacamp and created by experts and trusted by thousands of developers and data scientists all over the world. They are also very affordable and allow you to learn about this useful library from your home. 

1. Data Science: Supervised Machine Learning in Python [Udemy]

This intermediate course contains more than 6 hours of video content applying machine learning algorithms using the Scikit-Learn. Still, it requires you to understand the Python programming language and use the NumPy & pandas libraries for mathematical calculation, data manipulation analysis, and statistics background.

Start learning by understanding the K-Nearest Neighbor used a lot to solve supervised learning, solve classification and regression problems, and then learn the Naive Bayes, which you can use to predict the probability of different classes based on many attributes. 

Later, you will learn about the Decision Tree and the concept of perception. Finally, build a web service that uses machine learning to perform some tasks.

Top 5 Courses to Learn Scikit-Learn Library

2. Machine Learning 101 with Scikit-learn and StatsModels  [Udemy Course]

This massive course on udemy is intended for beginners who don’t even know the programming with python language. You will learn how to use it and some of the most used libraries like Numpy & pandas before jumping into learning Scikit-Learn library machine learning.

You are starting the course by learning the python programming language, such as printing statements on the screen and storing multiple values in one variable and the different data types. You will also see how to use some libraries like NumPy, pandas. 

Later, you will understand unsupervised learning and many other ML concepts. Finally, you will create machine learning models such as linear regression, logistic regression, k means algorithm and apply them to real datasets.

Best udemy course for Scikit learn

3. 100+ Exercises - Python - Data Science - scikit-learn  [Udemy Course]

This course is also for beginners who want a simple overview of the Scikit-Learn and create straightforward machine learning models like regression. It only requires you to understand the Python programming language and the desire to learn new skills.

There are tons of exercises for you to solve and learn Scikit learn Pandas, and NumPy. You will get an introduction about the Scikit-Learn and how it works in theory and then move to create a code and apply machine learning algorithms on simple data. 

You will learn about the regression model, which will predict the value Y and try to find a relationship between two variables. Then you will learn about classification, which is classifying datasets into different classes according to some attributes and more.

Best Scikit Course from Udemy

4. Supervised Learning with scikit-learn [Best Datacamp Course]

Scikit-Learn is a machine learning library that can perform a lot of things and contains different algorithms. Still, this course will only focus on supervised learning, a type of machine learning where you use labeled data for making a prediction, and this is one of the most used types of machine learning.

You will start learning about classification problems and solving them using supervised learning. You will also learn about regression which is the best approach for solving continuous data and applying them to a real dataset. 

You will also see how to evaluate your model using many metrics available in scikit-learn and optimize it and more. 

By the way, you need a Datacamp plan to access this course. They have different plans like standard, professionals, and premium which allows access to all projects. 

I generally recommend the standard plan because it is right-priced and you get access to all the essentials to grow your data skills like 350+ courses, 14 career tracks, 50+ skill tracks, unlimited practice challenges, and live code along. It cost around $25/month on an annual plan and it's totally worth it.

Best Scikit Course from Datacamp

5. Introduction to Data Science and scikit-learn in Python [Best Coursera Course]

This course is also a good reference for data scientists and machine learning engineers to learn the Scikit-Learn library to apply its algorithms on real datasets and make predictions. No prior experience require in this course, and even you won’t need Python in this course.

First, you will start learning about the python programming language and hypothesis testing and get an overview of the scikit-learn library and see how classification problems are solved using this library. Then learn more about the hypothesis and see how to use other libraries such as NumPy and pandas for data scientists. 

Later, learn about linear regression and the math behind machine learning. Finally, apply the classification algorithms to predict the presence of heart disease.

By the way, if you find Coursera courses useful, which they are because they are created by reputed companies and universities around the world, I suggest you 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. It cost around $399/year but its complete worth of your money as you get unlimited certificates.

Best Scikit Course from Coursera


That's all about the best Scikit-Learn online courses for beginners and experienced Data scientists and Machine Learning Engineers. We have seen the best courses from Udemy, Datacamp, and Coursera to learn this useful library. Scikit-Learn is a must-learn library if you intend to learn data science or almost anything related to making predictions like machine learning & deep learning engineer, and even some web developers are using this library to allow their web applications to perform some ML tasks.

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Thanks for reading this article so far. If you like these best 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 NumPy and looking for a free NumPy online course then you can also check out this Practical Machine Learning with Scikit-Learn [FREE]  course by 360 careers on Udemy. This 2-hour long course is completely free and was created by one of the reputed instructors on Udemy. I highly recommend you to join this course and all you need is a free Udemy account.  

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