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Sunday, December 20, 2015

Wal-Mart Trip Type Classification

From DSG:  Nice example of how data science can be used for a real world classification problem, with real data.  Including 1.2 million observations with 6 features.    Here using a Random Forest method for classification of retail trip types and comparing it to other methods.    Includes all the Python code from a Kaggle competition. Visualization of modeling progress.   Nicely done example. via Kirk Borne.

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