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A sub field of Data Science, Machine Learning is gaining importance in the analytics field of business.
Also, Machine Learning is becoming the next prime thing in the coming age with innovations in medical and robotics field.
I have handpicked 9 best Udemy machine learning courses that are overall well received by the students on either with the ratings or feedbacks or enrollments numbers.
The courses are considered best because students have loved these courses (ratings) and benefited from it (number of enrollments).
Note: All the Udemy courses mentioned below have inclusive features such as 30 days money back guarantee, lifetime access to the course material, a certificate on completion and you can access the course in both Android and iOS.
If you’re interested only in free courses please refer free Udemy courses and also read my Udemy review for more details about the company.
Best Udemy Machine Learning Course Review
Udemy Machine Learning with Python
# Course 1
Course Name: Machine Learning A-Z: Hands-On Python & R In Data Science
Author: Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team
Rating: 4.5+ from 22,229+ students
Currently Enrolled: 139,958+ students
Price Value: $200
About this Course:
Currently the bestselling Udemy machine learning course, it will teach you how to create machine learning algorithms in Python and R.
It is one of the best courses out there if you are planning to venture into the field of machine learning.
The course takes you through all complex theories, algorithms and coding libraries including Reinforcement learning, deep learning and NLP involved in ML and hands on practice to build your own model.
The course also provides Python and R templates to download and use it while building your own projects.
What student’s are saying after taking this course?
The course has got fantastic rating of 4.5 from a huge 20000+ students and a massive 1 lakh plus enrollments.
Just this one course will suffice your learning interests on Machine learning.
From the feedback section: Very good course to start with Machine Learning, covered all the basics of most of the machine learning algorithms, provide structured step by step insight to Machine Learning, many thanks for the intuitive way of teaching, it was full of fun and encouragement, etc.
Udemy Machine Learning Python Course
# Course 2
Course Name: Python for Data Science and Machine Learning Bootcamp
Author: Jose Portilla
Rating: 4.6+ from 10,965+ students
Currently Enrolled: 71,220+ students
Price Value: $195
About this Course:
If you are looking to learn how to use Python for Data Science and Machine Learning, this boot camp course is a great starting place.
The comprehensive course teaches you how to use Python to analyze data, create visualizations and use powerful machine learning algorithms.
You are expected to have some programming experience with Python and Pandas to better understand data science tools like Spark, NumPy, PlotLy, neural networks, etc.
What student’s are saying after taking this course?
The ratings are pretty awesome at 4.6 from 10,000+ students and a huge 70000+ enrollments.
From the feedback section: Best comprehensive course on data science and machine learning on Udemy, course is clear and well structured, great insight on what Data Science is, I would recommend as “A Must” for a beginner in data science with Python, etc.
Machine Learning Udemy – Artificial Intelligence
# Course 3
Course Name: Artificial Intelligence: Reinforcement Learning in Python
Author: Lazy Programmer Inc.
Rating: 4.6+ from 807+ students
Currently Enrolled: 8,663+ students
Price Value: $180
About this Course:
If you are looking for a solid foundation in reinforcement learning or AI in general, check this awesome course from lazy programmer.
The course mainly covers different reinforcement learning algorithms, relationship between RL and neuroscience, how to apply gradient based supervised machine learning methods to RL, Markov Decision Processes (MDPs), etc.
What student’s are saying after taking this course?
The ratings for the course are going great at 4.6 from 800+ students and a good 8000+ enrollments.
From the feedback section: An excellent introduction to Reinforcement Learning and with useful Python examples, this is probably the best course that I have found on the topic of reinforcement learning, great tips at the end of the course, etc.
Bestseller – Udemy Machine Learning with Python
# Course 4
Course Name: Data Science, Deep Learning, & Machine Learning with Python
Author: Sundog Education by Frank Kane, Frank Kane
Rating: 4.5+ from 6,299+ students
Currently Enrolled: 42,654+ students
Price Value: $160
About this Course:
The course covers the on demand data science and machine learning techniques such as neural networks, regression analysis, Bayesian methods, reinforcement learning to name a few.
It is currently one of the bestselling data science course with 20 hours extensive video but make sure you have some programming or scripting experience to start with.
What student’s are saying after taking this course?
The ratings have been fabulous for this course so far at 4.5 from huge 6000+ students and massive 40000+ enrollments.
From the feedback section: Interesting and linear way to begin with Data Science and Machine learning, Frank is a fantastic speaker, this is a very comprehensive course, excellent introduction to various concepts of Machine Learning including neural networks, etc.
Udemy Data Science and Machine Learning with Python
# Course 5
Course Name: Data Science: Supervised Machine Learning in Python
Author: Lazy Programmer Inc.
Rating: 4.6+ from 396+ students
Currently Enrolled: 5,769+ students
Price Value: $120
About this Course:
An advance course who wants to learn the deep nuances of machine learning algorithms in Python should check this course.
If you are current work profile demands implementing machine learning techniques, this course covers exactly that.
You are introduced to different algorithm techniques like K-Nearest Neighbor Algorithm, Naïve Bayes and General Bayes Classifier, Decision tree and Perceptron Algorithm, etc.
You will also learn other machine learning topics like cross validation, hyperparameters, Sci-Kit library with downloadable codes from GitHub.
What student’s are saying after taking this course?
The ratings are going fantastic at 4.6 from 300+ students and a good 5000+ enrollments.
From the feedback section: The mathematical derivations behind the code are covered in depth, learned better coding methods in Python, more in depth than other course on machine learning, really in depth and even shows how to build an end to end machine learning web service, etc.
Udemy Machine Learning – CNN
# Course 6
Course Name: Deep Learning: Convolutional Neural Networks in Python
Author: Lazy Programmer Inc.
Rating: 4.6+ from 671+ ratings
Currently Enrolled: 9,181+ students
Price Value: $120
About this Course:
This is the third part of the popular Lazy programmer’s ML series on deep learning.
The course talks about how to use deep learning for computer vision using convolution neural networks.
The course helps you understand convolution better, how to apply them on image effects, implement a simple echo effect in code, the architecture behind CNN, implement convolution in TensorFlow, Theano, etc.
What student’s are saying after taking this course?
Just like most other courses from Lazy programmer, course ratings are going great at 4.6 from 600+ students and a steady 9000+ enrollments.
From the feedback section: This course gives me a better understanding of Conv Nets, a lot of material in a short course, the deep learning series is great, the course is an excellent follow up to the practical deep learning course, the theory and coding part are as always very interesting and pretty detailed, etc.
Udemy machine Learning – Hidden Markov Model
# Course 7
Course Name: Unsupervised Machine Learning Hidden Markov Models in Python
Author: Lazy Programmer Inc.
Rating: 4.6+ from 522+ students
Currently Enrolled: 7,591+ students
Price Value: $120
About this Course:
One of the difficult subjects on ML is the Hidden Markov Models in Python and you need to nail this subject, look no further and take this course from Lazy programmer.
He helps you understand the various applications of HMMs, the math behind Markov chains, how to apply Markov models to website analytics and to any sequence of data, how Google’s PageRank works and much more.
What student’s are saying after taking this course?
The most comprehensive tutorial from Lazy Programmer on HMM has got the course rating going good at 4.6 from 500+ students and a good 7000+ enrollments.
From the feedback section: As usual for LP, clear and detailed, exciting course about classic time series model, very good explanations of a complex subject, he instructor does a great job of teaching a challenging topic, etc.
Udemy Machine Learning Python – Free
# Course 8
Course Name: The Top 5 Machine Learning Libraries in Python
Author: Mike West
Rating: 4.3+ from 618+ students
Currently Enrolled: 16,064+ students
Price Value: Free
About this Course:
This is an absolute beginner course on the top python libraries applied in machine learning.
The free course takes you through the process of building supervised predictive models using Python.
What student’s are saying after taking this course?
The free course on ML has got some good decent ratings at 4.3 from 600+ students and a good 16k enrollments.
From the feedback section: The course is pretty good for beginners who don’t know Python, good high level introduction, I liked how the lectures were brief and to the point, the course provided a good frame of reference for going deeper into Machine Learning, etc.
Udemy Machine Learning Course – Beginners
# Course 9
Course Name: Machine Learning For Beginners – Deep Dive
Author: Daniel We
Rating: 4.8+ from 11+ students
Currently Enrolled: 351+ students
Price Value: $100
About this Course:
This beginner course on Udemy machine learning is an excellent way to practice a rather difficult topic and get a good hold on the algorithm part.
The course follows total hands on approach to the machine learning stats and algorithms, so it could be a great option for anybody who doesn’t prefer theories instead love coding.
What student’s are saying after taking this course?
It’s a rather new course from Daniel but included as the ratings and feedbacks so far are excellent.
From the Feedback Section: A great course for diving deeper into ML and extends the machine learning for beginner’s course, I really like the practical approach, it’s pure coding but that’s what makes it so valuable to me, high quality content, etc.
Note: All Udemy prices fluctuate throughout the year. It is recommended to always lookout for Udemy discounts to get these courses at a lesser price.
Happy Learning!
