If you want to break into competitive data science, then this course is for you! Participating in predictive modelling competitions can help you gain practical experience, improve and harness your data modelling skills in various domains such as credit, insurance, marketing, natural language processing, sales’ forecasting and computer vision to name a few. At the same time you get to do it in a competitive context against thousands of participants where each one tries to build the most predictive algorithm. Pushing each other to the limit can result in better performance and smaller prediction errors. Being able to achieve high ranks consistently can help you accelerate your career in data science.
ロシア国立研究大学経済高等学院（National Research University Higher School of Economics）
National Research University - Higher School of Economics (HSE) is one of the top research universities in Russia. Established in 1992 to promote new research and teaching in economics and related disciplines, it now offers programs at all levels of university education across an extraordinary range of fields of study including business, sociology, cultural studies, philosophy, political science, international relations, law, Asian studies, media and communicamathematics, engineering, and more.
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HOW TO WIN A DATA SCIENCE COMPETITION: LEARN FROM TOP KAGGLERS からの人気レビュー
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.
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.
I really enjoyed this course but it was probably 2-3 times more work than I anticipated. Most of that extra time comes from working on the final project, testing things out, etc.
Clear and challenging at the same time, perfect!\n\nI did quite a few courses on Coursera now (Specialisation in Data Science and Deep Learning and this one is clearly in my top
The course is really excellent way of teaching the exploratory data analysis and ensembling concepts, i hope i will start a new life with the knowledge gained by this course
Great course.\n\nEven if some lessons may seem too theorical, it all comes together during the final project which pushes you to look back and apply what you learned.
Finally an advanced and comprehensive course in data science! Straight to the point with an extremely useful guidance on how to apply and analyse predictive models!
This is a good course. There are lots of useful tips and tricks to get more predictive power from data and model. I feel more confident in competing on Kaggle
Very practical course for those who are already good at ML. Not academical, not beginner-level. Once you get used to Russian accent it goes really well :)
Great course not just for competing in Kaggle, but also for giving a deeper understanding towards other things in machine learning besides the algorithms
One of the best course with the top kagglers sharing their experience of solving the most complex data science problems. ! Thanks to Courseera !\n\nJagan