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Volver a How to Win a Data Science Competition: Learn from Top Kagglers

Opiniones y comentarios de aprendices correspondientes a How to Win a Data Science Competition: Learn from Top Kagglers por parte de National Research University Higher School of Economics

965 calificaciones
226 revisiones

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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:

Principales revisiones


Mar 29, 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!


Feb 19, 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.

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76 - 100 de 224 revisiones para How to Win a Data Science Competition: Learn from Top Kagglers

por Saulo M d M

Nov 04, 2019

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

por Anthony I

Dec 31, 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

por Tomaso V

Sep 03, 2020

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

por జగన్నాధ ర బ

Oct 17, 2019

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


por Diego S d B

Dec 19, 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!

por Mukesh R

Jul 15, 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.

por Nikolay C

Mar 25, 2019

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

por Regi M

Aug 14, 2018

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

por Diego E P M

Apr 11, 2020

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

por ahmed a

Aug 27, 2018

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

por Yhoiner O M R

Jul 06, 2020

Es un curso con un montón de información

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

por Vishal B

Jan 25, 2019

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

por Oleg O

Dec 09, 2018

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

por Evgeny K

Oct 18, 2018

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

por Murat Ö

May 21, 2019

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

por S V

Jun 11, 2019

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

por Pablo V I

Jun 01, 2018

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

por Diego D

Sep 13, 2020

Excellent Course.

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

por Sylvain D

Oct 06, 2019

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

por Angel M

Apr 24, 2020

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

por Karthikeyan S

Feb 22, 2018

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

Regards - Karthik

por Thiru T N B

Aug 10, 2019

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

por Frédéric G

Jun 11, 2019

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

por Shanaya M

Oct 12, 2018

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

por superfantastic

Nov 06, 2018

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