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Jupyter Notebook Python
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Top 10 Statistics Mistakes Made by Data Scientists - Examples Code

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visualize.ipynb: results notebook tasks for generating data and models parameters execute workflow tasks and push data

The structure follows the d6tflow template for scalable data science projects available at It also makes use of d6tpipe to quickly share data to go with data science code see

Interactive results notebook at

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