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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 251~273

교육 기관: 藤田典明

2020년 5월 1일

Very Useful Cource. I want to be Kaggle master. and I want to do something useful in the world.

교육 기관: Gustavo A G G

2020년 10월 25일

Materials are really updated and you find a real value with the trainers. thanks

교육 기관: Vytenis P

2019년 1월 28일

Course has good tips, but should not be in this specialization

교육 기관: Benjamin F

2018년 2월 2일

The final project is tough, but it's worth it !

교육 기관: Daya_Jin

2018년 6월 13일

内容非常不错,就是作业比较难,光看视频很难把作业完成。要是视频中能讲的再详细点就好了

교육 기관: Mahboob A

2019년 4월 16일

my first was week awesome!

교육 기관: MHD K M

2020년 3월 31일

amazing lecturers

교육 기관: Anders P

2018년 9월 27일

Learned a lot

교육 기관: Santiago P G

2020년 9월 14일

Muy exigente

교육 기관: INHOI J

2020년 6월 6일

Good course

교육 기관: Fabián S Á M

2020년 9월 30일

Good

교육 기관: Marthala N R

2020년 9월 9일

If you have just come out of some bootcamp on machine learning, this course is not for you. You have to have done some ML projects or so i felt listening to the lectures. Topic selection was good. But, I hated the teaching format(reading through the slides) and often times important topics were barely talked about, while obvious things were repeated again and again.

Overall a good starting point for a person trying to make it big in competitions.

교육 기관: Hidemi A

2020년 1월 2일

Lots of useful information, but far from what you need to win a data science competition. So i suggest the title be changed to "Basics to start learning how to compete in a Kaggle competition.- Learn by PAST top Competitors" . As they will not help you at all in current competitions, only what they have done in the past, which is of public knowledge already.

교육 기관: Dimitry I

2020년 10월 6일

I wish there was a bit more in-depth teaching/learning in this course. A lot of data is thrown at you with one- or few-sentence statements, and no walk-throughs or practicals to make them stick.

교육 기관: Hiromichi I

2019년 2월 7일

実際にタスクを与えられたときに、EDAからモデリング、チューニングまで網羅的に触れている点については非常に良かったです。しかし、クイズの解答に疑問が残る点が散見し、かつ、アンサンブル学習のプログラミング課題においてはLightGBMのバージョンが違うと正解にならない点については良くないと感じました。

교육 기관: Wenlong W

2018년 12월 20일

This course is Okay but not perfect. I learned something from this course.

교육 기관: Anderson S Z

2021년 9월 14일

T​he english speaking of the lecturers is difficult to understand.

교육 기관: Quan C A

2019년 4월 20일

Terrible accent

교육 기관: Enrique C M

2018년 2월 23일

Very interesting, original and revealing materials and tricks to tackle competitive machine learning more efficiently.

Sadly, teaching is quite poor and shallow, focusing on personal examples and "I did that and it just worked"-type of experiences that introduce more noise rather than clearing the way to a full understanding of issues during ML competitions (this also includes practical examples).

I guess in a second version and after a review on the teaching methods, this course could be easily a must for ML engineers on the making.

교육 기관: HenryYao

2018년 5월 17일

a little too difficult for new pandas learner, some quizzes are confusing, the reply from the teachers is slow.

교육 기관: Ivan K

2021년 8월 7일

Videos are reproducing highlights that are available in the Readme of tools, provide little or no explanations on how things actually work, and quizes test material that was not explained in the videos. This is a very BAD course.

교육 기관: PRAKRUTHI S

2020년 6월 20일

Unenroll me in this course

교육 기관: Juan D G B

2020년 6월 17일

.