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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

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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: coursera@hse.ru...

Principales revisiones

MS

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!

GW

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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101 - 125 de 212 revisiones para How to Win a Data Science Competition: Learn from Top Kagglers

por CINTHYA G C G

Jul 24, 2020

Es un curso retante, que te permite reforzar y evaluar tus conocimientos en ML

por Mostafa M M

Jan 07, 2019

Really rich course with a lot of practical information, I learned a lot from it.

por Wesley A B J

Mar 16, 2019

Loving the course se far, ending 3rd week now. Very well explained conpets.

por jbene m

May 20, 2018

Really a Great Course, with a lot of informations summarized in short time.

por Leonid G

Mar 26, 2018

Really exciting and useful course! Plenty of desired information and tips.

por Siddhant D

Jun 04, 2020

Best course on machine learning I have ever had. Learned a lot every day.

por Ramil G

Mar 25, 2019

This course provides some unique knowledge you can't obtain anywhere else

por Jin K

Jun 15, 2020

Excellent course for Kaggler. All participants should take this course!

por Resve S

Jul 27, 2018

Highly recommended for those wanting to be an advanced Kaggler!

por Angel D

Sep 30, 2019

Some top tips which are hard to find in other online resources

por Aldo D

Apr 06, 2020

one of the most awesome and interesting course i've ever seen

por Adithya N

Nov 18, 2019

Fantastic! It's the most intense course I've done on Coursera

por Lionel C

Feb 18, 2018

Awesome, Excellent.

It gives many tricks for a data scientist.

por abensaid

May 19, 2019

very good courses makes me learn a lot practical examples

por Tin T Y

Apr 03, 2018

Awesome course. Learn things through hands-on assignment

por David A

May 25, 2019

Learned a lot from this course. I highly recommend it.

por Anatoly B

Mar 12, 2018

Great course, finally an advanced data science track!

por Prashanth T

Oct 26, 2018

By far the most useful course i have ever taken! :)

por Ratushin A

May 20, 2020

Very practical course on applied machine learning.

por Sunku K

Aug 12, 2019

This course is very helpful. Thank you to lectures

por CARLOS S G O

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

por JIPING L

Aug 05, 2018

That could be the best course in DS competition