Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Appearance settings
Open more actions menu

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
15 Commits
 
 
 
 
 
 
 
 

Repository files navigation

kaggle_mercedes

The 11th place solution of Mercedes-Benz Greener Manufacturing competition on Kaggle The descriprion is here: https://www.kaggle.com/c/mercedes-benz-greener-manufacturing/discussion/36242

The presentation of the solution in Yandex here (Russian audio, English subtitles): https://youtu.be/0qHXNeuNOAE

Also my blog post about the solution is available (Russian language): https://habrahabr.ru/company/ods/blog/336168/

List of files:

  1. cluster_target_encoder.py - the class for generating the cluster labels. See: https://www.kaggle.com/daniel89/mercedes-cars-clustering/
  2. sep_estimator.py - the class which fits four independent estimators. When predicting it splits the DataFrame by 'labels' columns and use the corresponding estimator to predict targets for corresponding 'labels' values.
  3. solution_11_place.ipynb - the main script

About

The 11th place solution of Mercedes-Benz Greener Manufacturing competition on Kaggle

Resources

Stars

Watchers

Forks

Releases

Packages

Contributors

Languages

Morty Proxy This is a proxified and sanitized view of the page, visit original site.