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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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151 - 175 von 261 Bewertungen für How to Win a Data Science Competition: Learn from Top Kagglers

von Pablo Z A

1. Mai 2020

Very interesting, complete, and useful course...

von Roman P

16. Sep. 2019

Fascinating, challenging, interesting and useful


4. Aug. 2018

That could be the best course in DS competition

von Kyle B

12. Juli 2018

Many new and useful techniques in this course.

von Jung H

3. Dez. 2017

I can get practical know-how from this lecture

von Maksym M

25. Mai 2019

I like this course. Improve practical skills.

von Pierric M

4. März 2020

great quality of teaching, I learned a lot !

von Vaibhav O

3. Dez. 2017

Awesome Course for Competitive Data Science!

von Jair G

6. Jan. 2020

Very dense course. More than the eye meets.

von Aleksei K

28. März 2018

Learn how to solve real world competitions.

von angela_cy

3. Apr. 2020

This is really very good and useful course

von Tarun K K

5. Nov. 2017

High level content with nice explanations

von Hao X L

21. Apr. 2018

maybe it is great,I look forward for it.

von Neeraj

7. Juli 2019

Great compilation of all tools of trade

von Bapi R

14. März 2019

One of the best course for practical ml

von shuiyuejihua

6. Sep. 2018

the course help me a lot, thanks a lot.

von Muhammed B

31. Jan. 2018

Great course. Thanks for the lecturers.

von Ivan T

21. Feb. 2018

Excellent course, challenging and fun.

von Sandipkumar P

28. Okt. 2017

Very Nice, to get started with Kaggle.

von Daniil K

30. Juli 2019

A lot of useful info. Thank's a lot!

von Dennys M

16. Apr. 2018

Is amazing and so useful, congrats!

von Remi S

11. Sep. 2020

Excellent, best course I ever take

von Luka N

17. Jan. 2020

The best course I've ever taken :)

von Yury A

9. Okt. 2019

thanks for this course, well done!

von Pavel A

17. Okt. 2020

Motivated course! Unique content!