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!
This course is fantastic. It's chock full of practical information that is presented clearly and concisely. I would like to thank the team for sharing their knowledge so generously.
par Aymen S•
This course is the biggest achievement in my Coursera until now, I wanna thank every one of the organizers of the course. For me it is the most advanced course related to data science that one can take because it's a combination between theory and practice, and I have learned a lot of staffs like how to deal with overfitting, mean encoding, lag features and stacking .
par EDWARD A A F•
muy buen curso en el que se enseñan técnicas avanzadas de Machine Learning.
es un poco complejo para personas que no tengan unas buenas bases de conocimiento en el tema de Machine learning.
(very good course in which advanced Machine Learning techniques are taught.
It is a bit complex for people who do not have a good knowledge base on the subject of Machine learning.)
par Alouini M Y•
A very challenging ML course but worth all the efforts. This course contains various interesting analyses of techniques to get better at ML modelling: from mean encoding (and how to do properly) to nearest neighbors features and model stacking. This is very useful for Kaggle challenges specifically but is valuable for day-to-day data science tasks more generally.
par Margarita C•
This course is awesome. The more effort I invested in it - the more results I got, and I feel like I haven't reached the limit. The course is very thought-out, the tests and programming assignments are great, teachers are inspiring. I enjoyed every part of it!
par Stephane H•
Great course, truly invaluable information in there, also the hardest i've ever done, took me months and a couple hundred hours. The knowledge and experience you gain is incredible, not for the faint of heart though.
par LISSETH S P•
Thank you for sharing your knowledge. It is a very complete course, it has a very insightful material. I strongly recommend this course to people with a good background to take advantage of all the content.
par Алексей Ш•
Спасибо авторам курса! На мой взгляд им удалось пройти по тонкой грани между достаточностью и избыточностью информации. Все информация и дополнительные ссылки - очень полезны. Отличный курс!
par Aryan G•
Certainly one of the best and informative courses on competitive data science. If you are interested in this field, no better way than to start from here.
par Yulia R•
awesome course, videos about leaks and competition pipelines are especially interesting
par Siddhant D•
Best course on machine learning I have ever had. Learned a lot every day.
par Xiukun H•
Great course to learn practical skills. I love the painful final project.
par Jin K•
Excellent course for Kaggler. All participants should take this course!
par Bazaliy V•
Great place to learn very useful practical skills for Data Scientist.
par LUISA M C T•
Excelente, muy exigente el nivel, pero muy completo el curso
par Dhruv N•
Best course i ever had
par Alex M•
This course helped me not only in Kaggle competitions but also it's a fantastic tutorial for advanced Machine Learning methods! I really recommend to pass the course with Alice Zheng & Amanda Casari book. I mean "Feature Engineering for Machine Learning".
Things in course that weren't appropriate for me:
1) In advanced feature II (4th week) there are interesting approaches, but no code examples for them :(
2) knn-assignment from the 4th week was one big nightmare: I had to change files directory in the assignment by myself. This problem was encountered by many other course participants.
But in general, "How to Win a Data Science Competition: Learn from Top Kagglers" is amazing course which gave me self-confidence in many advanced methods! Thank you.
par Juan C A G•
I consider this a very advanced and time consuming course. I enjoy learning from the experience of the instructors, considering they know a lot about the competition. However, I found difficult to follow many topics because a lot of previous knowledge is required. Besides this, the spoken English is not always good and the subtitles are mistaken many many times. All in all I found the course good in what they taught. Improvements are required in the methodology and English language.
par Голубев К О•
Great course with excellent tutors. 1C Predict Price Competiton - the best InClass Kaggle competition in which I took part.
But, IMHO, there's not enough practice. For example: it's very useful to exercise on different validation strategies or on stacking of something more, than 2 simple models. Also there's a mistakes in KNN notebook and unclear instrustions.
par Aman S•
Teaching style is not engaging at all. I am very confused
par Milos V•
Very interesting course, and the most practical and useful one. However, lecture are usually too theoretical and super-simple, while assignments are tough and very code oriented. So often there is no real connection between the two (except for Dmitry Altukhov). And final project is too difficult in sense that my Alienware 16 RAM was not enough, so I had to go to Google Cloud Platform. Also, I am not sure is anybody who is learning Machine Learning possible to do the final task in "6 hours" as solely runs could last for a day...
par Murat E•
Instructors are very valuable teachers and I learned a lot. However:
1) course content is getting old. Some of the points mentioned have changed. Content should be updated. Requiring eariler versions of python libraries is diminishing returns since I had to troubleshoot what went wrong instead of focusing on learning material.
2) Coursera platform gave me lots of headaches. Containers are not suitable for running the final project and I had to optimize memory usage and ran really slow.
par Sailesh G•
It was just not working for me. Perhaps the fault is mine, because I found it hard to grasp and was always trying to get on the same page. The course presentation only added to the challenge. One thing for sure, beginner (or intermediates) should stay away from this one until you're ready. I may perhaps revisit this course if I feel right, but that's a long way off.
par Lun Y•
There are too many things need the learner to investigate by themselves. We are here to learn but not guess. And the condition to close the course is very hard to achieve. I'd say it is not a well designed course including contents and how they are organized.
par Mithun G•
Content is really good. But delivery is at times incomprehensible. Assignments questions are also not very clear