Difference between revisions of "Data Preprocessing"
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* [[Datasets]] | * [[Datasets]] | ||
* [[Hyperparameters]] | * [[Hyperparameters]] | ||
| + | * [https://www.kaggle.com/rtatman/data-cleaning-challenge-json-txt-and-xls/ Data Cleaning Challenge: .json, .txt and .xls | Rachael Tatman] | ||
* The Passenger Screening Kaggle challenge [http://www.kaggle.com/c/passenger-screening-algorithm-challenge/discussion/45805 1st place solution] was won in part due to data preparation/generation. | * The Passenger Screening Kaggle challenge [http://www.kaggle.com/c/passenger-screening-algorithm-challenge/discussion/45805 1st place solution] was won in part due to data preparation/generation. | ||
* [http://www.kdnuggets.com/2018/10/notes-feature-preprocessing-what-why-how.html Notes on Feature Preprocessing: The What, the Why, and the How | Matthew Mayo - KDnuggets] | * [http://www.kdnuggets.com/2018/10/notes-feature-preprocessing-what-why-how.html Notes on Feature Preprocessing: The What, the Why, and the How | Matthew Mayo - KDnuggets] | ||
Revision as of 05:16, 18 January 2019
- Datasets
- Hyperparameters
- Data Cleaning Challenge: .json, .txt and .xls | Rachael Tatman
- The Passenger Screening Kaggle challenge 1st place solution was won in part due to data preparation/generation.
- Notes on Feature Preprocessing: The What, the Why, and the How | Matthew Mayo - KDnuggets
Splitting Data - training and testing sets
Sparse Coding - Feature extraction
