avatarEbrahim Haque Bhatti

Summary

This website provides links to video resources featuring Kaggle Grandmasters sharing their tips and tricks on winning Kaggle competitions.

Abstract

The website is titled "Kaggle Grandmasters Sharing their Secret Sauce on how to Win Kaggle Competitions" and features a list of hyperlinks to videos by Kaggle Grandmasters. These videos cover topics such as feature engineering, cross-validation strategies, and machine learning techniques. The website also includes links to additional resources such as Kaggle discussions and notebooks for data visualization.

Opinions

  • The website is presented as a valuable resource for those interested in improving their Kaggle competition skills.
  • The use of hyperlinks to external resources suggests that the website is intended to be a curated collection of expert advice rather than a standalone source of information.
  • The inclusion of additional resources such as Kaggle discussions and notebooks for data visualization suggests that the website is intended to be a comprehensive resource for Kaggle competitors.
  • The website does not provide any original content or analysis, but rather serves as a collection of links to external resources.
  • The website does not provide any information about the qualifications or expertise of the featured Kaggle Grandmasters, beyond their status as Kaggle Grandmasters.
  • The website does not provide any information about the relevance or applicability of the featured advice to specific Kaggle competitions or machine learning problems.
  • The website does not provide any information about the accuracy or effectiveness of the featured advice.

Kaggle Grandmasters Sharing their Secret Sauce on how to Win Kaggle Competitions

Tips, Tricks, Feature Engineering

Photo by Anna Shvets from Pexels

Below are the hyperlinks of Kaggle Grandmasters sharing their tips and tricks on winning Kaggle competitions:

  1. Beyond Feature Engineering and HPO | by Jean-François Puget | Kaggle Days Paris
  2. How to Win Kaggle Competitions | by Pavel Ostyakov | Kaggle Days Paris
  3. Kaggle Tips for Feature Engineering and Selection | by Gilberto Titericz | Kaggle Days Meetup Madrid
  4. Gold is easy: Kaggle tips and tricks | by Chahhou Mohamed | Kaggle Days Dubai | Kaggle
  5. Building the K-fold cross validation strategy | by Dmytro Poplavskiy | Kaggle Days Dubai | Kaggle
  6. Approaching (almost) Any Machine Learning Problem | by Abhishek Thakur | Kaggle Days Dubai | Kaggle
  7. How to succeed in code (kernel) competitions | Dmitry Gordeev | Kaggle Days
  8. Essential techniques for tabular competition | Kazuki Onodera | Kaggle Days
  9. Common Obstacles in Kaggle Competitions | Mikhail Trofimov | Kaggle Days
  10. Winning Kaggle Competitions with Deep Learning | Tao Shen | Kaggle Days
  11. Feature Engineering for Tabular Data | Zhifeng Gao | Kaggle Days
  12. Tricks to Reach Kaggle Leaderboard | by Danijiel Kivaranovic | Kaggle Days Warsaw
  13. Behind the $1M Zillow Prize | with Jasjeet Thind and Andy Martin | Kaggle Days SF
  14. Tips and Tricks for Machine Learning | by Stanislav Semenov | Kaggle Days Paris
  15. Kaggle Legend, “Raddar”: Darius Barušauskas | Becoming Comp Grandmaster in 1 year | AI in Medicine
  16. My journey to Kaggle #1 with Philipp Singer
  17. Medalling in all Entered Kaggle Comp | Interview with Dr Philipp Singer
  18. Kaggle Competition Starter Tutorial. Watch before starting!
  19. How to Become a Kaggle #1: An introduction to model stacking — Data Science Festival
  20. How to Win Kaggle Competitions
  21. How To Win Kaggle Competitions: Hear Owen Zhang Spill His Secrets
  22. Guanshuo Xu | Achieving #1 Rank in Kaggle Competitions Tier

For more resources click here,

  1. 50 of the most profound Kaggle Discussions (tips, tricks, resources) by the top Kaggle Grandmasters
  2. 50 more profound Kaggle Discussions (tips, tricks, feature engineering, resources) by the top Kaggle Grandmasters
  3. 50 Kaggle Notebooks to Learn Data Visualization
Kaggle
Data Science
Machine Learning
Artificial Intelligence
Deep Learning
Recommended from ReadMedium
avatarFazil Ahamed
Credit card Fraud Detection using Machine Learning

Introduction: Credit card fraud is a big problem for both people and banks. As online shopping grows, spotting fraud is getting harder. But…

6 min read
avatarRitesh Gupta
Machine Learning Algorithms Cheat Sheet for Data Scientists 🧠🤖

Simplified Explanations, Real-World Examples, and Quick References

6 min read
avatarDeepak
Stock Price Prediction Using TensorFlow: A Deep Learning Approach to Market Analysis

Leverage Deep Learning Models to Forecast Stock Prices and Make Data-Driven Investment Decisions

4 min read
avatarSkye
Senior Data Engineer Interview : PWC

Everything I Was Asked

2 min read
avatarDr. Roi Yehoshua
Random Forests

Random forests is a powerful machine learning model based on an ensemble of decision trees, where each tree is grown using a random subset…

9 min read
avatarJessica Stillman
Jeff Bezos Says the 1-Hour Rule Makes Him Smarter. New Neuroscience Says He’s Right

Jeff Bezos’s morning routine has long included the one-hour rule. New neuroscience says yours probably should too.

4 min read