Chevron Left
Zurück zu How to Win a Data Science Competition: Learn from Top Kagglers

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

1,081 Bewertungen
262 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!

18. Feb. 2019

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.

Filtern nach:

101 - 125 von 260 Bewertungen für How to Win a Data Science Competition: Learn from Top Kagglers

von Yhoiner O M R

5. Juli 2020

Es un curso con un montón de información

util que requiere de conocimientos de base y mediana comprensión de inglés

von Vishal B

25. Jan. 2019

Really great course, with so great insights! I really enjoyed the talks on feature engineering and ensemble methods!

von Oleg O

8. Dez. 2018

Very handy course, except I wasn't motivated enough to do home assignments. However, I gained a lot of new concepts

von Evgeny K

18. Okt. 2018

Learned many interesting moments in competitive ML! The course is systematic and structured very good, recommend!

von Murat O

21. Mai 2019

It is a well prepared course which includes lots of tips and trick and theoretical background to be successful.

von S V

11. Juni 2019

Strongly recommended. The course did not seem appealing at first, but it was challenging and I learned a lot.

von Jose M N d O J

21. Okt. 2020

A great course, learned a lot and I'm not a beginner at data science! I hope there's more courses like that!

von Pablo V I

1. Juni 2018

Challenging and fun. Perfect course in order to learn advanced machine learning techniques for competitions.

von Diego D

13. Sep. 2020

Excellent Course.

It was tough, but it is amazing all the information shared by the instructors. THANKS!

von Sylvain D

6. Okt. 2019

One of my favorite courses, you learn a lot of extremely practical things !! Not so easy, need hard work.

von Aditya C

9. Okt. 2020

Really Great. Got to learn so many amazing things. EDA, stacking, boosting, time series and many more!

von Angel M

24. Apr. 2020

It is the most demanding course I have ever had and in which I have learned the most. Excellent course

von Karthikeyan S

22. Feb. 2018

Brilliant course. Thanks a ton for all the instructors. They are a real inspiration.

Regards - Karthik

von Nadarasar B

10. Aug. 2019

Excellent course! Brilliant to gain a strong understanding of applying machine learning principles.

von Frédéric G

11. Juni 2019

Great ! I learned a lot with this course and a lot of things will be useful for my daily business

von Jens R

21. Jan. 2021

It's a really great course, giving a broad overview of usefull approaches, methods and tools.

von Shanaya M

12. Okt. 2018

Very informative course. Aspiring data scientists could benefit greatly through this course.

von superfantastic

6. Nov. 2018

One of the Most Great course I have participate in . Thank you for all the instructors.

von Willian W

20. Mai 2018

A very complete course, perfect to who wants to learn new techniques for data science.

von John F P

22. Nov. 2020

Buen curso, se necesita definitivamente tener varias bases antes de hacer este curso.

von Atul S

11. Mai 2020

Awesome course for those looking to enter in the domain of competitive data science.

von mar m

19. Aug. 2019

Multi-disciplinar course, a bit though but very useful and with a practical approach

von Nguyen V L

7. Mai 2020

This course is very helpful for people who have a basic knowledge of Data Science.

von Denis R

5. Mai 2020

Helps me to structure all already known information and learn a lot of new things

von James T

7. Mai 2018

Excellent and covers topics I've not seen in otherwise online courses. Great job!