https://github.com/vfdev-5/awesome-kaggle-kernels
Awesome Kaggle kernels
https://github.com/vfdev-5/awesome-kaggle-kernels
List: awesome-kaggle-kernels
Last synced: 5 months ago
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Awesome Kaggle kernels
- Host: GitHub
- URL: https://github.com/vfdev-5/awesome-kaggle-kernels
- Owner: vfdev-5
- License: mit
- Created: 2017-04-28T06:33:54.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2017-07-04T08:36:25.000Z (almost 9 years ago)
- Last Synced: 2025-11-02T10:01:51.804Z (7 months ago)
- Size: 1.95 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Awesome Kaggle kernels
A list of subjectively chosen *awesome* Kaggle kernels on different thematics. Feel free to add some more.
## EDA
### Image input dataset (aka *deep learning* competition)
- [Anokas - Exploratory Data Analysis](https://www.kaggle.com/anokas/data-science-bowl-2017/exploratory-data-analysis-4)
### Non-image input dataset (aka *xgboost* competition)
- [SRK - Simple Exploration Notebook - Sberbank](https://www.kaggle.com/sudalairajkumar/sberbank-russian-housing-market/simple-exploration-notebook-sberbank)
- [Angela - Detailed Data Exploration in Python](https://www.kaggle.com/xchmiao/house-prices-advanced-regression-techniques/detailed-data-exploration-in-python)
- [BeyondBeneath - Geolocation visualisations](https://www.kaggle.com/beyondbeneath/talkingdata-mobile-user-demographics/geolocation-visualisations)
- [Pedro Marcelino - Comprehensive data exploration with Python](https://www.kaggle.com/pmarcelino/house-prices-advanced-regression-techniques/comprehensive-data-exploration-with-python)
- [Alan (AJ) Pryor, Jr. - Detailed Cleaning/Visualization (Python)](https://www.kaggle.com/apryor6/santander-product-recommendation/detailed-cleaning-visualization-python)
- [Philipp Schmidt - Quora EDA & Model selection (ROC, PR plots)](https://www.kaggle.com/philschmidt/quora-question-pairs/quora-eda-model-selection-roc-pr-plots)
## Technics :
- [Anisotropic - Introduction to Ensembling/Stacking in Python](https://www.kaggle.com/arthurtok/titanic/introduction-to-ensembling-stacking-in-python)
- [Kyle HounslowA - Method for Finding Leaked Images in Test Set](https://www.kaggle.com/kylehounslow/a-method-for-finding-leaked-images-in-test-set)