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Machine Learning A-Z™

Hands-On Python & R In Data Science

Interested in the field of Machine Learning? Then this course is for you.

This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.

We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

This course is fun and exciting, but at the same time we dive deep into Machine Learning. It is structured the following way:

  • Part 1 - Data Preprocessing
  • Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression
  • Part 3 - Classification: Logistic Regression, K- So not only will you learn the theory, but you will also get some hands-on practice building your own models.

And as a bonus, this course includes both Python and R code templates which you can download and use on your own projects.

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Rating 4.3 based on 10,000 ratings
Length 43.5 total hours
Starts On Demand (Start anytime)
Cost $11
From Udemy
Instructors Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, SuperDataScience Support
Download Videos Only via the Udemy mobile app
Language English
Subjects Data Science Business
Tags Data Science Business Development Data & Analytics

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What people are saying

According to other learners, here's what you need to know

machine learning in 1414 reviews

It was amazing course and provides a lot of information, almost full information and knowledge of machine learning.

I think it was put together well and really tried to narrow in on what is fundamental to machine learning.

After completing it I am feeling fully confident about getting more in depth into machine learning.

The perfect way to start the journey to Machine Learning!

Luego de terminar el curso: Es bastante bueno, explican lo importante de Machine Learning.

This course provided a good overview of strategies and methods for machine learning.

Great course for the beginners who want to get an intuitive understanding of what is Machine Learning about as well as starting to create their own projects.

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step by step in 140 reviews

Everything is explained step by step with proper guidance.

This course is excellent for beginners with a well-organized overview of Machine Learning and items are clearly explained step by step.

Everything is explained clearly and the tutors go through everything step by step.

Very systematic and detailed way of breaking down step by step of machine learning model with easy to follow instructions This is the type of course I was looking for.

Even though CRISP DM provides that insight but seeing it getting applied step by step in this course enlighten me.

All are handson and very detailed, step by step procedure.

The step by step implementation of the algorithms in both Python and R enhance the learning experience while providing the students with valuable material to use later.

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hadelin de ponteves in 28 reviews

Most importantly it teaches you to choose the right model for each type of problem.Thanks Kirill Eremenko and Hadelin de Ponteves for this opportunity ..!

What I like the most is the way of the presentation by Hadelin de Ponteves.

have better explaination Thank you very much for the explanation, Great job by Kirill Eremenko, Hadelin de Ponteves and SuperDataScience Team.

Interessante en goede cursus, verzorgd door ervaren trainers Kirill Eremenko en Hadelin de Ponteves.

Also, Hadelin de Ponteves and Kirill Eremenko are like my role models, it would be nice if could talk to them.

The course is interesting and course instructors, Kirill Eremenko, Hadelin de Ponteves and SuperDataScience Team & Support have delivered it so efficiently, explaining every why and how of the content.

A parte un po' di confusione iniziale (perchè avevo carenze nei concetti base), il corso è molto lineare e spiega bene i concetti Hadelin de Ponteves.

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andrew ng in 23 reviews

I have tried studying Andrew Ng's course a few times but found that course very boring.

I’ve took the Machine Learning course form Andrew Ng and some Python、R 、data analysis courses,so I know the concept behind the algorithm and coding.

Great course on Applied Machine Learning, I think this course should be taken after Andrew Ng Machine Learning course so you know the theories of ML algorithms and then how to apply them.

Example data should be bigger with more features in the many exercise I just had completed the ML course by Andrew NG on coursera, so I had a base good enough to get along with the implementation of the algorithms in Python (I am avoiding R for now).

For more advanced learners, Andrew NG's lecture series is recommended.

After that I'll recommend to go through Prof. Andrew Ng's Machine Learning course on Coursera or YouTube.

Definatley a lif changing course This is a wonderful course, came to this course after completing Andrew Ng's course on Coursera.

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neural networks in 17 reviews

Thank you , Sir The course covered a lot of fascinating topics, my favorite ones were the Convolutional Neural Networks, Multi-Armed Bandit problem and Grid Search algorithm.

Update: Was not able to get the libraries required to run section 31: Artificial Neural Networks so I was unable to finish this course.

Convolutional neural networks is such a wide field ---certainly couls have explained it a little better Any one new to Machine learning go to this course, very good course This course is actually fun to take!

I have jumped around to listen to snippets and I am most interested in Neural networks but I am starting from the beginning because it will all be necessary.

good sofar I am super excited to learn smth that really going to challenge me It was a great learning experience about Machine Learning for beginners especially the topics like Regression and Neural networks.

When I first started on machine learning, I was pushed right into convolutional neural networks, which was not where I needed to be!

It became much more interesting and challenging as I progressed to neural networks.

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super data science in 13 reviews

This is my third Super Data Science (SDS) course.

Kirill and the Super Data Science team produce some of the best quality courses I've taken on Udemy.

Only one thing missing to need more in depth theory session... Kirill sir and Hadelin sir have done a incredible job on the course and i hope that they keep on adding new stuff down the line Super Data Science are some of the best instructors on Udemy.

The courses by the Super Data Science Team are some of the best online courses I've ever taken.

Excellent Course,Highly recommended.Super data science team doing very much great work..Do enroll in this course if you want to see yourself as a machine learning expert or data scientist :) Very comprehensive course and very easy to understand!

Thank you, Super Data Science Team.

I hope to learn a lot more with Super Data Science and, in the future, may AI bots ;) (pun totally intended) be able to have a more live Q&A with students like me who have a question popping up in their head every 5 mins throughout the course.

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An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Research Scientist-Machine Learning $55k

Cloud Architect - Azure / Machine Learning $75k

Watson Machine Learning Engineer $81k

Machine Learning Software Developer $103k

Software Engineer (Machine Learning) $116k

Applied Scientist, Machine Learning $130k

Autonomy and Machine Learning Solutions Architect $131k

Applied Scientist - Machine Learning -... $136k


Machine Learning Engineer 2 $161k

Machine Learning Scientist Manager $170k

Machine Learning Scientist, Personalization $213k

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Rating 4.3 based on 10,000 ratings
Length 43.5 total hours
Starts On Demand (Start anytime)
Cost $11
From Udemy
Instructors Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, SuperDataScience Support
Download Videos Only via the Udemy mobile app
Language English
Subjects Data Science Business
Tags Data Science Business Development Data & Analytics

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