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

Mean encodings
ByAdmin July 11, 2021July 11, 2021

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…

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Graded quiz of How to Win a Data Science Competition
ByAdmin July 11, 2021

Week – 4 Graded quiz How to Win a Data Science Competition Learn from Top Kagglers 1. Which hyperparameters are first to tune in sklearn’s RandomForest? 1 point n_estimators, max_depth,…

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Feature preprocessing and generation with respect to models
ByAdmin July 10, 2021

Week – 1 Feature preprocessing and generation with respect to models 1. Suppose we have a feature with all the values between 0 and 1 except few outliers larger than…

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How to Win a Data Science Competition

Recap of How to Win a Data Science Competition
ByAdmin July 10, 2021

Week – 1 Recap of How to Win a Data Science Competition 1. What back propagation is usually used for in neural networks? 1 point To propagate signal through network…

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Metrics
ByAdmin July 11, 2021

week – 3 Metrics >>> How to Win a Data Science Competition Learn from Top Kagglers 1. Suppose we solve a binary classification task and our solution is scores with…

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How to Win a Data Science Competition

Graded Advanced Features II Quiz
ByAdmin July 11, 2021

Week – 4 Graded Advanced Features II Quiz >>> How to Win a Data Science Competition Learn from Top Kagglers 1. Imagine that we apply X = PCA(n_components=5).fit_transform(data) and data…

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

Programming Assignment: Data leakages

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