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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

973 calificaciones
226 reseña

Acerca del Curso

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 reseñas


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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126 - 150 de 225 revisiones para How to Win a Data Science Competition: Learn from Top Kagglers


Jul 19, 2020

It's a really good course, I learned many things.

por Debasis S

Aug 01, 2019

Amazing course! The lectures are great! Thank You

por Pablo Z A

May 01, 2020

Very interesting, complete, and useful course...

por Roman P

Sep 16, 2019

Fascinating, challenging, interesting and useful


Aug 05, 2018

That could be the best course in DS competition

por Kyle B

Jul 12, 2018

Many new and useful techniques in this course.

por Jung H

Dec 04, 2017

I can get practical know-how from this lecture

por Maksym M

May 25, 2019

I like this course. Improve practical skills.

por Pierric M

Mar 04, 2020

great quality of teaching, I learned a lot !

por Vaibhav O

Dec 03, 2017

Awesome Course for Competitive Data Science!

por Jair G

Jan 06, 2020

Very dense course. More than the eye meets.

por Aleksei K

Mar 28, 2018

Learn how to solve real world competitions.

por angela_cy

Apr 03, 2020

This is really very good and useful course

por Tarun K K

Nov 05, 2017

High level content with nice explanations

por Hao X L

Apr 21, 2018

maybe it is great,I look forward for it.

por Neeraj

Jul 07, 2019

Great compilation of all tools of trade

por Bapi R

Mar 14, 2019

One of the best course for practical ml

por shuiyuejihua

Sep 06, 2018

the course help me a lot, thanks a lot.

por Muhammed B

Jan 31, 2018

Great course. Thanks for the lecturers.

por Ivan T

Feb 21, 2018

Excellent course, challenging and fun.

por Sandipkumar P

Oct 28, 2017

Very Nice, to get started with Kaggle.

por Daniil K

Jul 30, 2019

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

por Dennys M

Apr 16, 2018

Is amazing and so useful, congrats!

por Remi S

Sep 11, 2020

Excellent, best course I ever take

por Luka N

Jan 17, 2020

The best course I've ever taken :)