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Kursteilnehmer-Bewertung und -Feedback für How to Win a Data Science Competition: Learn from Top Kagglers von HSE University

1,082 Bewertungen
263 Bewertungen

Über den Kurs

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. In this course, you will learn to analyse and solve competitively such predictive modelling tasks. When you finish this class, you will: - Understand how to solve predictive modelling competitions efficiently and learn which of the skills obtained can be applicable to real-world tasks. - Learn how to preprocess the data and generate new features from various sources such as text and images. - Be taught advanced feature engineering techniques like generating mean-encodings, using aggregated statistical measures or finding nearest neighbors as a means to improve your predictions. - Be able to form reliable cross validation methodologies that help you benchmark your solutions and avoid overfitting or underfitting when tested with unobserved (test) data. - Gain experience of analysing and interpreting the data. You will become aware of inconsistencies, high noise levels, errors and other data-related issues such as leakages and you will learn how to overcome them. - Acquire knowledge of different algorithms and learn how to efficiently tune their hyperparameters and achieve top performance. - Master the art of combining different machine learning models and learn how to ensemble. - Get exposed to past (winning) solutions and codes and learn how to read them. Disclaimer : This is not a machine learning course in the general sense. This course will teach you how to get high-rank solutions against thousands of competitors with focus on practical usage of machine learning methods rather than the theoretical underpinnings behind them. Prerequisites: - Python: work with DataFrames in pandas, plot figures in matplotlib, import and train models from scikit-learn, XGBoost, LightGBM. - Machine Learning: basic understanding of linear models, K-NN, random forest, gradient boosting and neural networks. Do you have technical problems? Write to us:


28. März 2018

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!

9. Nov. 2017

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.

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76 - 100 von 261 Bewertungen für How to Win a Data Science Competition: Learn from Top Kagglers

von Joseph B

18. Apr. 2019

Very nice course and final project is actually challenging and a great learning experience when learner attempts to do it completely on their own without reading forums or looking at examples on Kaggle.

von robert

1. Jan. 2019

Challenging in a fun way, puts things I've learnt before in a different perspective. Overall very practical knowledge with lots of use-cases and not much theory. it's like an awesome lab in grad school.

von venkata y

4. Mai 2020

the best course i did on coursera. it was amazing to learn from the winners of previous competitions.

definitely not from starters. you need to decent background. it is climbing a hill from the get-go

von Marat S

29. März 2018

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!

von P C T

16. März 2020

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

von Charles-Antoine d T

5. Aug. 2018

Clear and challenging at the same time, perfect!

I did quite a few courses on Coursera now (Specialisation in Data Science and Deep Learning and this one is clearly in my top

von Darya L

20. Aug. 2018

The course is very interesting. All topics are clearly explained. Helped me a lot with data preprocessing, metrics, hyperparameters optimization and stacking. Thanks a lot!

von nicole s

17. Apr. 2018

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!


11. März 2019

Great course.

Even 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.

von Роман С

12. Mai 2021

Great Course! I would recommend it if you want to improve your skills in Data Science and know a lot of new techniques! It may seem hard if you are beginner in DS

von Anna N

7. März 2018

Very interesting course, it really covers material you will find nowhere! It is very practical, interesting topics and assignments!

I like this course very much.

von Quan T

18. Feb. 2018

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

von Ilya E

27. Apr. 2018

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 :)

von Saulo M d M

4. Nov. 2019

Great course! You will learn very advanced modeling techniques that are not only useful for data competitions but also real machine learning applications.

von Anthony I

31. Dez. 2017

Great course not just for competing in Kaggle, but also for giving a deeper understanding towards other things in machine learning besides the algorithms

von Tomaso V

3. Sep. 2020

the course was really interesting, the teachers told their experience, and described in detail the various methods with perfect clarity. thanks to all!

von jagannadha R b

17. Okt. 2019

One of the best course with the top kagglers sharing their experience of solving the most complex data science problems. ! Thanks to Courseera !


von samip t

1. Jan. 2021

Provides a solid foundation to those who have basic knowledge of machine learning algorithms and are interested to participate in kaggle competition.

von Diego S d B

18. Dez. 2019

Excellent. One of the best courses I've ever done! I hope the other courses on the specialization are as awesome as this one. Unique content!

von Mukesh R

15. Juli 2019

A very well made course and it has lots of useful information related to field of data science. Thank you for making it available to us.

von Nikolay C

25. März 2019

Excellent course! Previously I had a small experience in Kaggle competitions, but this course really charged me with new superskills! :)

von David H G

16. Okt. 2020

is quite hard at some points since the jupyter notebooks demand quite advanced skills but is very detailed in the techniques to apply

von Regi M

14. Aug. 2018

This course stands out as the instructors provide details of all concepts they discuss. It is also supported by numerical exercises.

von Diego E P M

10. Apr. 2020

Awesome course on practical Data Science. If you are a Data Scientist this is a course you will not regret taking, 100% practical.

von ahmed a

27. Aug. 2018

Very interesting course that gives you a cutting edge in public competitions. Many ideas that rarely seen in class rooms.