Great Learning!!

Pre-requisite : Basic python (it is needed to complete assignments and programming challenges)

Overall it is a great course to understand machine learning algorithms, including mathematical aspects of it. It also provides comprehensive explanation of Overfitting, Scaling, Normalization, Regularization and Sampling,etc.

It was really well design, interactive, and practice based course to learn Machine Learning. You not only learn theories, but also relates that to real world and write codes in practice lab. Overall it is a 100% recommended course. Even a beginner can learn and understand this course easily without any prior knowledge in coding, or ML.

Andrew Ng is an excellent teacher. It's mind-blowing how he can explain everything clearly and effectively. When things get rough, his words of encouragement and persuasion feels like I have a chance to work at Google 😅. If you have background programming and used Python before, it will make you learn dan understand faster. Good luck!

I found this course to be excellent. I've grasped the concepts and terminology of machine learning, thanks to the clear instruction from the teacher. The examples provided were intuitive and engaging, making it easier to understand complex ideas. Additionally, the Jupiter Lab section offered detailed guidance, making coding a breeze.

This course was very interesting. My mentor Mr.Andrew Ng well explained the concepts. They were easily understandable. since I am new to the world of programming, I am really happy and excited to fix the errors in my program. Thanks to my mentor and the course era team. This course will be very much helpful in upgrading my career.

A great course in machine learning. I learned a lot in this course and I definitely recommend it. Besides, it would've been great if they had some project besides the labs, though still it introduced me to a lot of excellent materials regarding machine learning, and I am looking forward to taking more courses in this specialization.

It was a brilliant course and it helped me think more analytically. The practice labs and visualizations were spot on, they really helped in getting the intuition about what was being taught. Andrew Ng as usual was really great and explains everything quite nicely and calmly. The examples given by him complement the theory nicely.

I am profoundly grateful for the opportunity to study in this course. It is an immense privilege to learn directly from an extraordinary and highly esteemed mentor, Andrew Ng. I would also like to extend my heartfelt thanks to all the organizers of this course. May you always be in good health and may your affairs be facilitated.

I've always heard great things about this course and I was blown away by the quality of the content. Andrew Ng is a Great Teacher. He makes you feel right at home explaining complex topics by breaking them down into small easily digestible bits of information. I am definitely gonna take another specialisation from DeepLearning.AI.

Extremely impressive content (video, labs, and supporting interactive visulations) that truly help build intuition for the problems solved, while simultaneously aiding understanding of how and why to code the functions to solve the problems. Light on soley math, light on soley code, heavy on the intersection of the math and code.

Awesome course! The lecture is easy to learn and friendly to beginners. Many thanks to the professor and all the staff working for this amazing class. As a researcher in the social science field with limited Python knowledge, I learned a lot in this course and I'm considering the knowledge in my academic field. Huge thanks again!

This course exceeded my expectations. The instructor's expertise and clear explanations made complex concepts easy to understand. The hands-on projects and real-world examples provided valuable practical experience. I highly recommend this course to anyone interested in mastering regression and classification in machine learning.

The content was overwhelming at first but the instructor was easy to understand and was detailed in their descriptions of each step. I came into this course with 0 knowledge of the subject and found the practice exams and helpful tips during the tests to be extremely helpful. Thank you for putting together such an amazing course!

Absolutely worth taking. I had attempted this few months back, from Andrew Ng. This course has definitely made it worth while to dig in. I do have to ask the course designers, relevance of the next two courses, as the transformers architecture is taking us by storm due to recent GPT success. Are those next two courses irrelevant?

Unbelievably useful course... I've learned how to actually implement basic analyses of data using machine learning and have already applied this knowledge to data I work with every day with spectacular results. Can't recommend this enough; Andrew is also an engaging speaker and teacher. Very surprised at how fun this was overall.

Even though I knew the material from the original ML course, it is a great upgrade to the original w.r.t. using python, jupyter notebooks and scikit-learn. It's always a pleasure to absorb the information presented by Andrew. Material was presented very clearly, with great focus on building the intuitions around things. Thank you

I am very happy to finish this course! It is the best! I took previous course, but matlab was quite complicated and new for me. So I am very glad that course has been updated with python. Everything was explained in details. This course highly motivated me in studying. Thank you a lot, Dr. Andrew Ng! You are very great teacher!

A great learning journey with Andrew Ng and thanks to all of the people behind to make it so intuitive and fun to learn .. I never thought that ML could be such easy to understand and with the this new Jupyter notebook and all graphics and animations this course turns the boring math into an excited exploration into the future.

The fundamentals have been covered thoroughly. The assignments have been designed very thoughfully to give a clear understanding of the subject. More than anything my interest in Machine learning has deepened. Taking this course motivates you to go for more. I am delighted with teh experience it offered me in a short time.

Thank Andrew and the whole team that made this course possible. I learned so much in this course, Andrew is able to explain difficult concepts in a clear an concise way. The labs and quizzes helped to assess how much I've understtod the concepts seen. I have now solid basis to be able to grow in my machine learning journey!!!

Fantastic course with the always positive, funny and kind energy of Andrew. This is a very nice and fresh update from the Matlab course which now uses Python and I am so much happier and able to understand things better. Gives me motivation to keep learning about ML and hopefully one day be a part of this world professionally.

An excellent overview of the both the basics building blocks of modern machine learning algorithms and the state of machine learning today. Taught by the fantastic Andrew Ng, who makes even the most complex concepts easy to understand. Courses from DeepLearning.ai are a class apart from any ML related courses on the internet.

I have really enjoyed doing this course. I did have confusion working with vectors and differentiating them with scalars while coding. Some fundamental steps are more clear. Still lot of work to do on my own side. The hints provided and step by step guidance given is great tool for self evaluation and developing coding skills

At first, I didn't think this course was suitable for beginners. However, after taking it, I had to change my opinion. The code is clearly provided with meaningful documentation, and Instructor Andrew Ng explains all the concepts in detail. This course is truly excellent and meaningful for my journey to become an AI engineer.

Very well taught course covering basic concepts and examples lucidly. One does not need to get into complex mathematics and at the same time, it does cover the required maths driving the Machine Learning. The material, exaplanation and the various labs give complete picture of what's happening behind the scene of a ML system.