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Avis et commentaires pour d'étudiants pour How to Win a Data Science Competition: Learn from Top Kagglers par Université HSE

4.7
étoiles
1,113 évaluations
274 avis

À propos du cours

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 online 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...

Meilleurs avis

MS
28 mars 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!

MM
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 sur 273 Avis pour How to Win a Data Science Competition: Learn from Top Kagglers

par Tin T Y

3 avr. 2018

Awesome course. Learn things through hands-on assignment

par David A

24 mai 2019

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

par Anatoly B

12 mars 2018

Great course, finally an advanced data science track!

par Prashanth T

26 oct. 2018

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

par Andrei R

20 mai 2020

Very practical course on applied machine learning.

par 강선구

12 août 2019

This course is very helpful. Thank you to lectures

par CARLOS S G O

19 juil. 2020

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

par Debasis U

1 août 2019

Amazing course! The lectures are great! Thank You

par Pablo Z A

1 mai 2020

Very interesting, complete, and useful course...

par Roman P

16 sept. 2019

Fascinating, challenging, interesting and useful

par JIPING L

4 août 2018

That could be the best course in DS competition

par Kyle B

12 juil. 2018

Many new and useful techniques in this course.

par Jung H

3 déc. 2017

I can get practical know-how from this lecture

par Maksym M

25 mai 2019

I like this course. Improve practical skills.

par Pierric M

4 mars 2020

great quality of teaching, I learned a lot !

par Vaibhav O

3 déc. 2017

Awesome Course for Competitive Data Science!

par Jair G

6 janv. 2020

Very dense course. More than the eye meets.

par Aleksei K

28 mars 2018

Learn how to solve real world competitions.

par angela_cy

3 avr. 2020

This is really very good and useful course

par Tarun K K

5 nov. 2017

High level content with nice explanations

par Hao X L

21 avr. 2018

maybe it is great,I look forward for it.

par Neeraj

7 juil. 2019

Great compilation of all tools of trade

par Bapi R

14 mars 2019

One of the best course for practical ml

par shuiyuejihua

6 sept. 2018

the course help me a lot, thanks a lot.

par Muhammed B

31 janv. 2018

Great course. Thanks for the lecturers.