Data leakages

ByAdmin July 11, 2021

Week – 2 Data leakages >>> How to Win a Data Science Competition Learn from Top Kagglers

Among the features you have a company_id, an identifier of a company where this person works. It turns out that this feature is very important and adding it to the model significantly improves your score.

An ID of a data point (row) in the train set correlates with target variable.

First half of the data points in the train set has a score of 0, while the second half has scores > 0.

Split train, public and private parts of data by time. Remove time variable from test set, keep the features.

Split train, public and private parts of data by time. Remove all features except IDs (e.g. timestamp) from test set so that participants will generate all the features based on past and join them themselves.

Make a time based split for train/test and a random split for public/private.

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How to Win a Data Science Competition

All Assignment of How to Win a Data Science Competition

ByAdmin July 10, 2021

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Feature extraction from text and images

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Graded quiz of How to Win a Data Science Competition

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How to Win a Data Science Competition

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Week – 3 Mean encodings >>> How to Win a Data Science Competition: Learn from Top Kagglers 1. What can be an indicator of usefulness of mean encodings? 1 point…

Week – 2 Data leakages >>> How to Win a Data Science Competition Learn from Top Kagglers

Programming Assignment: Data leakages

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