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How to Win a Data Science Competition: Learn from Top Kagglers(으)로 돌아가기

HSE 대학의 How to Win a Data Science Competition: Learn from Top Kagglers 학습자 리뷰 및 피드백

4.7
별점
1,113개의 평가
274개의 리뷰

강좌 소개

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...

최상위 리뷰

MS
2018년 3월 28일

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
2017년 11월 9일

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.

필터링 기준:

How to Win a Data Science Competition: Learn from Top Kagglers의 273개 리뷰 중 151~175

교육 기관: Tin T Y

2018년 4월 3일

Awesome course. Learn things through hands-on assignment

교육 기관: David A

2019년 5월 24일

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

교육 기관: Anatoly B

2018년 3월 12일

Great course, finally an advanced data science track!

교육 기관: Prashanth T

2018년 10월 26일

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

교육 기관: Andrei R

2020년 5월 20일

Very practical course on applied machine learning.

교육 기관: 강선구

2019년 8월 12일

This course is very helpful. Thank you to lectures

교육 기관: CARLOS S G O

2020년 7월 19일

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

교육 기관: Debasis U

2019년 8월 1일

Amazing course! The lectures are great! Thank You

교육 기관: Pablo Z A

2020년 5월 1일

Very interesting, complete, and useful course...

교육 기관: Roman P

2019년 9월 16일

Fascinating, challenging, interesting and useful

교육 기관: JIPING L

2018년 8월 4일

That could be the best course in DS competition

교육 기관: Kyle B

2018년 7월 12일

Many new and useful techniques in this course.

교육 기관: Jung H

2017년 12월 3일

I can get practical know-how from this lecture

교육 기관: Maksym M

2019년 5월 25일

I like this course. Improve practical skills.

교육 기관: Pierric M

2020년 3월 4일

great quality of teaching, I learned a lot !

교육 기관: Vaibhav O

2017년 12월 3일

Awesome Course for Competitive Data Science!

교육 기관: Jair G

2020년 1월 6일

Very dense course. More than the eye meets.

교육 기관: Aleksei K

2018년 3월 28일

Learn how to solve real world competitions.

교육 기관: angela_cy

2020년 4월 3일

This is really very good and useful course

교육 기관: Tarun K K

2017년 11월 5일

High level content with nice explanations

교육 기관: Hao X L

2018년 4월 21일

maybe it is great,I look forward for it.

교육 기관: Neeraj

2019년 7월 7일

Great compilation of all tools of trade

교육 기관: Bapi R

2019년 3월 14일

One of the best course for practical ml

교육 기관: shuiyuejihua

2018년 9월 6일

the course help me a lot, thanks a lot.

교육 기관: Muhammed B

2018년 1월 31일

Great course. Thanks for the lecturers.