Top Kagglers gently introduce one to Data Science Competitions. One will have a great chance to learn various tips and tricks and apply them in practice throughout the course. Highly recommended!
Really excellent. Very practical advice from top competitors. This specialization is much more information-dense than most machine learning MOOCs. You really get your money's worth.
von Temiloluwa A•
Couldn't follow because the English Accent was difficult to understand.
von Manuel M B•
Si bien los instructores tienen mucha experiencia en Kaggle, no me resultó muy util a la hora de aprender Data science para un entorno empresarial y por proyectos. Si tu objetivo es dedicarte a estas competencias te lo recomiendo, pero como parte de una especialización en ciencia de datos, No.
Very dry presentation. Video is not a good medium for this material.
von Molin D•
The course itself is very good. However I have some opinion on program assignment scoring system:
1. Machine learning hosting enviroment by Coursera for jupyter notebook is SLOW.
For some task, I could download database from public source, run locally with my GPU.
For some task, I could not move whole resource because of private database, etc. Either I don't want to use Google colab (may forget to cancel GCP service charing...)
2. Classmate review suspended,
I join the this cours late, so for a long time after I submited the assignment no one to review.
better change such task to auto scoring system.
von Kaushik P•
This course is just what I was looking for as I am really interested in competitive Machine Learning and data science. Hopefully , I will be able to perform better in competitions from now on.
But the only down side I can think of is that the programming assignments are pretty difficult at times, but none the less it was a great experience.
von Sixing H•
A very needed course in not just Kaggle competition but also machine learning. Even not for the Kaggle tips, the machine learning alone should be reason enough for taking this course. The code exercise provides excellent framework for further application in my own projects. I hope there are more such courses in coursera.
von Kirill L•
Even though, it revolves around Kaggle competitions which are usually simpler than real-life, this course is full of down-to-earth practical techniques and examples which is really valuable for me.
Idea to organize Kaggle competition as a course project is very good.
Lectors are easy to follow and nice to listen to.
von Vratislav H•
It is diffifult but when you reach the end, you are glad that you were able to finish it. Because I gained a lot of knowledge and best practices. There is a lot of work but it helps you sharpen your brain. I recommend to work simultaneously on project because otherwise it will be difficult to finish it..
von YUYU L•
Teaching the clear work flow with data science project and learned some trick method at feature engineering. In the final, playing kaggle competition was funny. But, you should take the competition as early as possible, if waited week 5 to join the competition it would be very hard.
von Mark P•
This is a fantastic course for anyone looking to extend their skills in data science. Its packed full of tips and tricks and techniques that are well explained and very useful for data science. I would go so far as saying that it has been my favorite data science course OF ALL TIME!
von Lukas K•
One of the best course I had on Coursera so far. Really good explanation of problems you can face in DataScience competition and ability to see many useful approaches for solving the problems. The final assignment is a little bit longer, but totally worth the time.
von Francois G•
It seems to me a very good and actually quite demanding crash course in applied machine learning. It is full of very pragmatic techniques to approach data modeling with the clear goal to improve scores (by any legit means) in competitions. Well put together.
von Igor B•
This course requires much time, but gives hardcore experience in practical data science and machine learning. The final project, which is a proving ground for the acquired skills, is both an interesting competition to participate in and a real-world-task.
von Arnaud R•
This course is a gold mine of knowledge and tricks for anyone working with the data science toolkit. It requires good prior knowledge of the different algorithm used and Python fluency. The course is demanding but you will get out of it so much stronger.
von Diego T B•
This is an awesome course! I really learned a lot from this top kagglers. I just have one recommendation. I think some sessions were very though and difficult to catch: the data leakage part and the Kappa metric. Try to make this even much easier.
von Yotam S•
Amazing course. Teaches the theoretical aspects of ML in within a practical point of view. Enables use to improve your models by understanding the framework much better. Not recommended as first ML course, but definitely as an advanced one.
von Holger P•
This course is amazing. Taught by experts in the field with a proven track record of outstanding performance in Kaggle competitions. They teach how to fine tune ML models to achieve better performance. My choice for best course on Coursera!
von Sergio A G P•
It was a great, demanding, and very detailed course about machine learning and implementations in the context of competitions. Thus, the focus is very competitive and programmatic, but without forgetting the understanding of the problem.
von Amit K S•
This is so good. Three reasons (1) Helps me revisit the concepts that I learnt in the machine learning course. (2) Helps me to deal with my FOMO (3) I would feel most confident to go for my Data Science or Data Engineering interviews.
von ashesh g m•
It was one of the best courses which I've done on coursera. Here, it was all practical and essential knowledge which was taught. Mentors were amazing and inspiring. A must do for any data scientist or aspiring data scientist.
von CARLOS A U F•
Excellent course, at the beginning was very frustrating, because of my poor knowledge, but then, with some dedication and new learnings, was great to know and practice new technique to solve real and competition ML problems.
It's tough to pass this course tasks and the course itself not 100% polished, but it makes it very interesting in the practical aspect - I learned more. Also, I believe lectors gave us a lot of very helpful material.
von Olaf W•
Really liked the class. Didn't expect to learn a whole lot of new things, but they have some great tips and tricks here and there that I hadn't come across yet which made it worthwhile.
The content is well structured.
von Chris M•
This was one of the better online courses I've taken in Machine Learning. There is so much content in this course, and I've learned a lot from the exercises and working on the Predicting Future Sales competition.
A must for every data scientist, the courses are amazing and you learn a lot a tips.
If you have just started data science, you’ll be able to follow the course but you may not understand all the underlying ideas