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Kamil A. Kaczmarek edited this page Jul 3, 2018
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We document our work here, show code snippets and additional explanations.
- Solution 1: honey bee π LightGBM and 5fold CV
- Solution 2: beetle πͺ² LightGBM on binarized dataset
- Solution 3: dromedary camel πͺ LightGBM with row aggregations
- Solution 4: whale π³ LightGBM on dimension reduced dataset
- Solution 5: water buffalo π Exploring various dimension reduction techniques
- Solution 6: blowfish π‘ bucketing row aggregations
check our GitHub organization https://github.com/neptune-ml for more cool stuff π
Kamil & Kuba, core contributors
- honey bee π LightGBM and 5fold CV
- beetle πͺ² LightGBM on binarized dataset
- dromedary camel πͺ LightGBM with row aggregations
- whale π³ LightGBM on dimension reduced dataset
- water buffalo π Exploring various dimension reduction techniques
- blowfish π‘ bucketing row aggregations