The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills.
I'm extremely excited with what I have learnt so far. As a newbie in Machine Learning, the exposure gained will serve as the much needed foundation to delve into its application to real life problems.
It is a very great course to start. Theory lectures are very easy to understand and the practical labs provided gives you the insights of it and really boosts the confidence. Very comfortable to watch and learn.
автор: Saurabh D•
its the perfect course to start the journey of worlds most demanding technology. well structured and organised with good knowledge and it will definitely increase knowledge about ML, no matter how much you know.
автор: Aditya V•
One of the best course, i have taken till now, Including lots of important content related to machine learning, I would recommend this course to a beginner in machine learning. I learned a lot from this course.
автор: Bhavesh G•
I've learn about different machine learning techniques like regression, classification, clustering and recommendation system. I've suggest this course to everyone who will build their career into Data Science.
автор: afsaneh l•
I really enjoyed this course. It helped to understand different machine learning projects. Also, I became familiar with a lot of libraries in Python which are very useful in coding machine learning algorithms.
автор: Okta F S•
This is very great course. From this course I can learn fundamental concept of machine learning with Python like building classifiers using k-nn, decision tree, support vector machine and logistic regression.
автор: A A A•
Very beautiful course, continuation from IBM Data Science Specialization. Instructors did a great job explaining the basic Machine Learning algorithms. I honestly enjoyed the Capstone week: Best classifier.
автор: Deleted A•
This course was very useful to get clear about basics of machine learning. Thank you for making such informative and easy to understand videos. I would like to learn more about machine learning.
автор: Ankan K P•
It is a good course for both beginners and intermediate.But i will suggest you to before starting this course make sure that you are master in python basics,numpy,pandas,skypy,sckit learn,matplotlib etc.
автор: Ishani S•
A thorough introduction to Machine Learning for beginners. I loved this course because it explains the Machine Learning concepts very well. This course motivates me to do more study in Machine Learning!
автор: Anthony F•
Challenging and fun course that took everything we learned previously and built on it. As someone coming in with RStudio experience, it still stretched out my ability to code in this different language.
автор: Pranjal S•
Very basic course which includes important machine learning models. This course doesn't go to depth of the topic.But overall I like the labs environment which feels practical because they are in python.
автор: Carol C•
I learning the principle of each algorithm. It's clear and easy to get the principle. It's pretty good to learn ML in such a way, not too much information in one week. Thanks, IBM provides this course.
автор: Franco M V•
Excelente curso! Explican aspectos matemáticos y estadísticos complejos con mucha simpleza, lo que lo hace entendible inclusive para la gente que no tiene ancetedentes en la materia. Felicitaciones!
автор: Nicole D•
This course is a great way to start learning about ML, as it sets out what you need to do step-by-step, explains very clearly why, and gives you a chance to experiment and practise. Thank you IBM!
автор: Muhammad U A•
This is an amazing course. specially for those with little knowledge with python. This course has helped with the basic understanding of Machine learning and usage of python as a data scientist.
Excellent course! Easy to understand through the whole range of machine learning. However, some subjects are dealt in shallow, other subjects in depth! Anyway it must be great course! Thank you!
автор: Ahmed G•
Quite an informative course, well presented material without being overbearing for newcomers to ML. Highly recommended to everyone with prior CS experience who wants to get into AI/ML workloads.
автор: Brahim A•
It was an exited course though some difficulties to acquire the knowledge behind ML algorithms. But this course is worth learning. Definitely, thanks to Mr. SAEED AGHABOZORGI and all the team.
автор: Filipe S M G•
Very informative course, showing mostly how to use many different Machine Learning techniques. Although mathematical details are not discussed much, the intuition of the methods are discussed.
автор: Munib A L•
The course was excellent. Instructors explained each and every topic well both theoretically and practically. Recommended for beginners who want to dive into machine learning using Python.
автор: Zaheer U R•
One of the best course I have come across. Every module was brilliant and taught so well. Thanks to coursera and IBM for such a lovely course. Special thanks to all the tutors and mentors.
автор: Ahmed M•
This course provided a solid platform for machine learning and I have thoroughly enjoyed every second of it. No regrets and I look forward to continuing with similar courses in the future.
автор: Yashwanth A•
I Learned basic algorithms, error evaluation, analysis on various datasets. At the end of the course, I am confident to apply my knowledge to solve problems with the required algorithms.
автор: Yathish S•
well designed course... smooth. it is for beginners, gives a good basic grasp.. the exercises are the best, pretty painless to get up and running, easy to experiment (highly encourage)..