Chevron Left
Retour à How to Win a Data Science Competition: Learn from Top Kagglers

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.

Filtrer par :

176 - 200 sur 273 Avis pour How to Win a Data Science Competition: Learn from Top Kagglers

par Ivan T

21 févr. 2018

Excellent course, challenging and fun.

par Sandipkumar P

28 oct. 2017

Very Nice, to get started with Kaggle.

par ERNESTO L C

28 oct. 2021

m​aby the best course for thes topics

par Daniil K

30 juil. 2019

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

par Dennys M

16 avr. 2018

Is amazing and so useful, congrats!

par Remi S

11 sept. 2020

Excellent, best course I ever take

par Luka N

17 janv. 2020

The best course I've ever taken :)

par Yury A

9 oct. 2019

thanks for this course, well done!

par Pavel A

17 oct. 2020

Motivated course! Unique content!

par Sergiy M

23 avr. 2020

Hands-on, very practical course.

par なかむら

10 juil. 2020

programming assignment is good.

par Raheel H

6 août 2020

A great learning experience.

par Graig L

13 nov. 2020

Great course, very useful!

par Germán A R D

13 oct. 2020

Excelente curso, exigente.

par JOHN F V O

11 sept. 2020

Good and demanding curse

par Akshit J

28 juil. 2020

Really insightful course.

par Yingxin W

18 avr. 2020

A lot of good materials

par Maniar T G

26 sept. 2019

Amazing Course. Thanks!

par Renyi Z

29 nov. 2020

Thanks. Learned a lot!

par Boris G A

22 juin 2020

Hiper super course :D

par sagar s

29 sept. 2018

Awesome. Worth it!.

par Ujjwal U

27 janv. 2018

Exceptional course!

par Moti T

4 janv. 2018

Interesting and fun

par Chiang y

26 juil. 2018

Excellent class!!!

par GUO S

23 juil. 2018

Like it very much!