Chevron Left
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

882 calificaciones
192 revisiones

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 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!


Nov 10, 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.

Filtrar por:

126 - 150 de 191 revisiones para How to Win a Data Science Competition: Learn from Top Kagglers

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 Luka N

Jan 17, 2020

The best course I've ever taken :)

por Yury A

Oct 09, 2019

thanks for this course, well done!

por Sergiy M

Apr 23, 2020

Hands-on, very practical course.

por Yingxin W

Apr 18, 2020

A lot of good materials

por Maniar T G

Sep 26, 2019

Amazing Course. Thanks!

por sagar s

Sep 29, 2018

Awesome. Worth it!.

por Ujjwal U

Jan 27, 2018

Exceptional course!

por Moti T

Jan 04, 2018

Interesting and fun

por Chiang y

Jul 26, 2018

Excellent class!!!

por GUO S

Jul 23, 2018

Like it very much!

por Mauricio D A

Nov 19, 2017

Very nice tricks!

por Diego A G S

Feb 04, 2019

Very good course

por himanshu m t

Jan 23, 2018

really great..!!


Jul 21, 2018

awesome course

por Aditya S

May 01, 2018

Amazing Course

por Mike K

Jan 17, 2019

Отличный курс