Machine learning is one of the most well-known fields in the tech world. Along with other similar skills like data science, artificial intelligence, neural network, and deep, Machine learning remains a top skill to master in order to build great projects and land jobs.
Machine learning involves the study of computer algorithms that can improve on their own with experience. It is a field of artificial intelligence with a variety of real-life uses and applications, especially in terms of data management and business intelligence.
Best Udemy Machine Learning Courses
If you’re looking to get into this sphere or improve your existing skill, taking courses on Udemy will be a great idea. Udemy is one of the most popular online education platforms with thousands of courses taught by experts in various fields.
We have a more detailed review of Udemy on our blog. This article will be focused mainly on the best Machine Learning course you can find on Udemy.
Machine Learning A-Z™: Hands-On Python & R In Data Science
This is one of the most popular machine learning courses on Udemy. The course which is taught by two data science experts has been taken by more than 800,000 students with an average rating of 4.5. The lectures are a combination of theory classes and practical exercises to help students master the basics of machine learning using R and Python.
In this 44hours class, you’ll learn about various machine learning models and how to make accurate predictions and analyses with them. This practical course will also cover specific topics such as Deep, Reinforcement Learning, and NLP. It also covers advanced machine learning techniques such as Dimensionality Reduction
Python for Data Science and Machine Learning Bootcamp
This course covers the basics of how to use Python for Machine learning and Data Science. Taught by data scientist Jose Marcial Portilla, the course has an average rating of 4.6 and has been taken by more than 500,000 students. This course will cover all you need to know about programming with Python and how to create data visualization using Python.
In this course, you will be taught how to implement Algorithms and how to use Spark for Big Data Analysis. You will also learn all about NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Tensorflow, and several other AI and Big Data techniques.
The 25 hours of on-demand videos also explain the concept of Natural Language Processing, Spam filters, Neural Networks, and Support Vector Machines. The concepts are explained in up to 100 HD video lectures. Each lecture also comes with a coded notebook for practical knowledge.
Clustering & Classification With Machine Learning In Python
Taught by Bestselling Instructor & Data Scientist, Minerva Singh, this course teaches students how to harness their knowledge of Machine Learning for both supervised and unsupervised learning using Python. More than 3,000 students have taken this class with an average rating of 4.5.
The lectures cover all the main aspects of practical data science using Anaconda and iPython. The curriculum will be covered in 6 hours and it is divided into seven sections. In addition to being taught about dimension reduction, and supervised and unsupervised learning, you will also be introduced to deep and neural network concepts.
At the end of the course, students will be able to use various machine learning packages such as Numpy, Pandas, and Matplotlib. You’ll also be able to work with real data in Python.
Clustering & Classification With Machine Learning In R
Another top-rated course by Bestselling Instructor & Data Scientist, Minerva Singh, this course will teach you how to harness the power of machine learning for both supervised and unsupervised learning in R. More than 1900 students have taken the class with an average rating of 4.7.
Whether you’re just getting started with R&R studio, or you are already familiar with R, but you want to learn about Supervised and Unsupervised improvement, this course is for you. The entire curriculum is divided into 8 sections covering various aspects of Machine Learning with R. It begins with an introduction to R-framework for data science.
This course also covers important concepts such as Data Structures, Data Reading, pre-processing and cleaning data, as well as how to build models and evaluate.
Python Regression Analysis: Statistics & Machine Learning
Regression analysis is one of the most important concepts of machine learning and statistical-based analysis. In this Python Regression Analysis class, you will learn all about practical statistical modeling and Machine learning using Python. The lessons are taught by Minerva Singh, and more than 1800 students have taken the course, with an average rating of 4.2.
In 6.5-hours, you will master how to use Anaconda/iPython and apply it practically for data science. This course also covers several techniques including Linear Regression, Random Forest, kNN, and so on. The lectures also cover concepts like Neural Network & Deep Learning-Based Regression along with other advanced machine learning concepts.
Complete Machine Learning & Data Science Bootcamp
If you’re a beginner with no prior experience, taking a course like this is a great way to get started. The top-selling course has been taken by more than 61,000 students with an average rating of 4.7. The classes were created and taught created by three Data Science experts specifically for those who want to master Data Science concepts from scratch and get hired with their skills.
During the 43 hours course, students will be introduced to all the modern data science skills. It covers important topics like Data Exploration and Visualization, how to evaluate and analyze models, Python 3, Tensorflow 2, and Numpy, as well as Neural networks and deep learning. At the end of the course, students should be able to build real-life projects and apply to Data Science jobs.
The Data Science Course: Complete Data Science Bootcamp
This data science course was created by 365Finance, one of the leading providers of finance lectures on Udemy. Over 480,000 students have taken the course with an average rating of 4.6. The entire course is a comprehensive guide that covers everything a student needs to know about getting started as a data scientist.
Much more than learning about how to create Algorithms, if you’re looking for a course that breaks down the mathematics behind Machine Learning in a way a beginner would understand it, then this course might be an ideal choice for you. You’ll also learn various advanced data science skills including advanced statistical analysis, python programming, deep learning frameworks, and so on.
Machine Learning, Data Science, and Deep Learning with Python
This is a Complete hands-on course covering various artificial intelligence concepts and data science concepts. It also provides a detailed overview of Machine Learning Frameworks like Tensorflow and Keras. It has been taken by more than 162,000 students with an average rating of 4.8.
The course is designed for students with some basic programming experience looking to master the techniques used by machine learning experts and data scientists. There are more than 100 lectures in the curriculum, to be completed over 15 hours.
This course explains machine learning in plain English, devoid of complex mathematical notations, and comes with practical demonstrations that students can try out on their own to consolidate their knowledge.
Python for Machine Learning & Data Science Masterclass
This course by Jose Portilla is for those looking to master various advanced Data Science and Machine Learning concepts. It covers several Python data science libraries and frameworks including Pandas, Numpy, Matplotlib, and so on. More than 58,000 students have taken the course with an average rating of 4.6.
In the end, students should be able to conduct real-world engineering case studies. Manipulate data on Python with Pandas and create various types of ML algorithms supervised and regression algorithms. To get the best from the 44 hours class, basic Python knowledge is needed.
Introduction to Machine Learning for Data Science
This is an introductory course that explains the basics of ML for Data Science. The course was created by David Valentine, a seasoned Data Scientist with years of professional experience. This introductory course has been taken by more than 53,000 students and has earned an average rating of 4.5 from thousands of reviews.
This is a beginner course for everyday people. It is perfect for everyone who wants to fully grasp the concept of data, data science, artificial intelligence, ML, and how they all fit together. It does not go deep into technicalities. Instead, the course is focused on an understanding of these concepts and their impact on society. There are 62 lectures in the course completed in 5.5 hours.
AWS Certified Machine Learning Specialty - Hands-On!
This course is designed specifically for those looking to take the AWS certification examination. It covers everything a student needs to know about AWS and Sagemaker to pass the certification examination. It also covers advanced knowledge of machine learning as well as engineering and model tuning beyond what is typically taught in classrooms. So far, more than 44,000 students have taken the lectures and it has an average rating of 4.5.
The video classes are taught by two instructors; Frank Kane, an experienced machine learning expert, and Stephane Maarek, a renowned AWS certification instructor.
After taking the 10-hour video course, students can also take an assessment practice exam similar to the AWS certification exam. There are also four lab sessions to help students practice the concepts they have been taught in the course.
The Complete Machine Learning Course with Python
This is a project-based ML course by Anthony NG, a Senior Lecturer in Singapore. In this course, students get to learn and master the concept of Python Machine Learning, Regression, SVM, Unsupervised Machine learning, and so on by building a portfolio of 12 projects.
The 17.5 hours of video classes have been completed by more than 24 thousand students, with an average rating of 4.7.
By taking this course, students get to master all the machine learning toolsets they need to build ML models that solve real-life problems. Starting with just basic python knowledge (no ML experience required), students will go from total novices to experts by the end of the course.
Don’t forget to read our blog on the best Udemy’s Python courses to pick the most suitable one for you.
Deep Learning A-Z™: Hands-On Artificial Neural Networks
In this ML course, two machine learning and data science experts, Kiril Eremenko and Hadelin de Ponteves will teach you everything you need to know about creating Deep Learning Algorithms in Python. The 22 hours course has a rating of 4.5 and has been taken by more than 331 thousand students so far.
In this course, students will be taught the intuition behind various deep learning networks such as Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Self-organizing maps, and Boltzmann Machines.
You will also be taught how to apply each of these concepts in practice. While you’ll also get to build projects in this course, it is more focused on helping you understand the logic behind everything you’re building.
Excel for Data Science and Machine Learning
This course by 365 Careers is for those looking to improve their Excel skills by mastering how to perform Machine Learning and Advanced Statistical Analysis with no code in Excel. This course also covers the Fundamentals Statistical Concepts as well as advanced statistics. So far more than 1800 students have taken the course and it has an average rating of 4.5
In the 6 hours video course, you will discover how to use excel to perform advanced statistical analysis with a strong emphasis on concepts like Linear Regression, Analytical Thinking, Logistic Regression, Cluster Analysis, and so on.
Those with no knowledge of programming but are considering going into Machine learning or Data Science will find this course very helpful on their journey.
Also, check our list of the best Excel courses on Udemy if you are interested in finding more courses on this topic.
|Course||Average Rating||Skill level||Price|
|Machine Learning A-Z™: Hands-On Python & R In Data Science||4.5||Beginners and intermediate level||$84.99|
|Python for Data Science and Machine Learning Bootcamp||4.6||Beginners with some programming experience and experienced developers||$84.99|
|Clustering & Classification With Machine Learning In Python||4.3||Developers with a basic knowledge of Python and Machine Learning||$99.99|
|Clustering & Classification With Machine Learning In R||4.7||Developers with a basic knowledge of R and Machine Learning||$84.99|
|Python Regression Analysis: Statistics & Machine Learning||4.2||Beginners with a basic knowledge of python programming||$99.9|
|Complete Machine Learning & Data Science Bootcamp||4.7||Beginners and intermediate students||$84.99|
|The Data Science Course: Complete Data Science Bootcamp||4.6||For beginners||$94.99|
|Machine Learning, Data Science, and Deep Learning with Python||4.6||For intermediate level users with a basic knowledge of coding||$24.99|
|Python for Machine Learning & Data Science Masterclass||4.7||Beginner python developers||$84.99|
|Introduction to Machine Learning for Data Science||4.5||Beginners with a basic knowledge of mathematics||$84.99|
|AWS Certified Machine Learning Specialty – Hands-On!||4.5||Intermediate to advance users taking the AWS exam||$99.99|
|The Complete Machine Learning Course with Python||4.4||Beginner Python developers||$99.99|
|Deep Learning A-Z™: Hands-On Artificial Neural Networks||4.5||Intermediate to advance level developers with basic knowledge of python programming||$84.99|
|Excel for Data Science and Machine Learning||4.5||Students with a basic knowledge of Microsoft Excel||$84,99|
Which machine learning course is best in Udemy?
The Machine Learning A-Z™: Hands-On Python & R In Data Science course is one of the most well-known ML and Data science courses on Udemy. More than 800,000 students have taken the course so far.
However, there are several other good-quality courses that may be suited for you depending on your skill level and the exact concepts you intend to master.
Are Udemy courses respected?
Udemy is not an accredited institution. Thus, not all employers recognize Udemy certificates. Still, you should know that many of the courses on the platform are quite worthwhile. They’ll help you learn new skills and hone the ones you already have.
So even if the employer does not rate the certificate, they’ll most likely be impressed by your commitment to growth.
Which is better: Udemy or Coursera for machine learning?
Both are great platforms to take machine learning courses. In terms of the number of courses available, you’ll get more options with Udemy than on Coursera. Udemy is also great for those who prefer a personal and informal style of learning.
However, Coursera hosts courses from top universities from all over the world. Hence, they tend to be more structured.