dnc1994 / Kaggle Playground
Licence: mit
Jupyter notebooks and code examples for my Kaggle Beginners' Guide.
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Kaggle-Playground
After I finished the Home Depot competition, I wrote a summary as a beginners' guide to Kaggle. It got retweeted by Kaggle's official account.
In this repo you can find details about how I preprocessed the dataset, constructed features, trained different models and finally built the stacked ensemble. Main files are features.ipynb and ensemble.py.
Feel free to suggest how to improve it!
Acknowledgements
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Search Results Relevance 1st Place Winner's Interview - Chenglong Chen
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(Chinese) Solution for Prudential Life Insurance Assessment - Nutastray
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