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.
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.
创建者 Lipin A•
Thank you very much. It was not easy, but very interesting to learn, to create and to code.
This course, especially its practice part got me deeper understanding what else I should to learn and read about.
Thank you! Good luck!
创建者 Aurora S P•
Very interesting course. What I like the most are the practial exercises, which can be easily followed and you can always play with them trying different cases by your own. The theory is also very well organized. Thank you!
创建者 Anirban M•
Teaching was good but since the title refers ML with python expected more deep dive with some ML associated libraries in python and implementation. The course was more over Theoratical but good for the beginners.
创建者 Joe A•
I enjoy this course - the content, the pace and the Notebook exercizes. It didn't bog me down and gave me a great insight into what Supervised and Unsupervised ML entails. I have lots to learn and practice ahead. Thank you.
创建者 Arnold K•
this is an intermediate level but it blends in well with beginner's basics, allowing even people with less experience or perhaps only theory to jump in right away. Also makes foundation for advanced level. i recommend it.
创建者 Nhan T N•
Amazing course. I learnt a variety of machine learning model here. Complete the course, I feel confident in understanding and applying them. It is also the foundation for me in further learning of machine learning. Thanks!
创建者 Venkata S M I•
The course content provides a great insight into how we can create different types of models using Machine Learning algorithms. This is the best place to start if you want to really pursue a career towards Data Science.
创建者 Prakher N•
The course is really good and comprehensive. You need to have some prerequisites of data visualization but the best aspect of the course is the instructor who teaches everything very smoothly and clears all your doubt
创建者 FOSS - F & O S S C•
Thanks a lot to the Course Mentors...Highly Informative and explained in a detail.I wish there should be little more elaboration needed as this is completely new for Industry.More Practical Assignments should be given
创建者 Carl-Michael E•
The best part of this course is the final project. This is because they provide you with working code in the assignments, but you need to adapt it to your needs in the final project. The rest of the course is okay.
创建者 Nabham G•
Crisp and clear course. Professors, up to the point and very clear explanation. The provided notebooks were super helpful for the final assignment submission. Everything was just awesome and organized well in detail.
创建者 Amitayu B•
A wonderful course for beginners. Linear Regression, Classification (K-NN, DT, SVM, logistic regression) and Clustering algorithms (K-means, Hierarchical, DBSCAN) with its respective Python codings clearly explained.
创建者 Apurva N•
I was working in an organization on a project related to predictive modelling using python. This course has helped me a lot to increase my knowledge and assisted me in completion of the project in a very smooth way.
创建者 TIAGO B L•
great course! my mainly consern today is about my time. There are lots of courses out there and its dificult to choose one to invest your time on. This one is, in my view, is perfect: Teaches a lot in a concise way.
创建者 Santhosh M•
ABSOLUTELY FANTASTIC! WELL DESIGNED COURSE FOR BEGINNERS. THIS COURSE HAD GIVEN ME A SOUND INDERSTANDING OF THE FUNDAMENTALS OF THE MACHINE LEARNING ALGORITHMS AND THEIR APPLICATIONS.
KUDOS TO CREATORS! GREAT WORK!
创建者 Ritesh T•
From Nowhere to somewhere. Definitely worth, I was afraid of Python, but with the professor's teaching, and little bit of youtube studies, I am some how confident that I can handle data in python. A big thumbs up!
创建者 LO W•
Learning machine learning without stress. The essential models including regression, classification, clustering and recommender system are introduced with application. Hand-on section let you practice the tools.
创建者 Siddhesh M•
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.
创建者 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.
创建者 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.
创建者 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.
创建者 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.
创建者 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.
创建者 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.
创建者 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.