Linux File Processing: head and tail examples

27 Oct 2017   GNU utilities head and tail are very useful for text file processing under Linux and other unix-based OSs.

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Scikit-Learn Pipeline Examples

21 Oct 2017   Examples of how to use classifier pipelines on Scikit-learn. Includes examples on cross-validation regular classifiers, meta classifiers such as one-vs-rest and also keras models using the scikit-learn wrappers.

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Kaggle NYC Taxi Trips Competition: Overview and Results

17 Oct 2017   Overview of Kaggle competition: New York City Taxi Trip Duration.

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jupyter python

Python on Jupyter notebooks: Reference for Common Use Cases

16 Oct 2017   Getting more done with Jupyter notebook, with useful shortcuts and commonly-used functionality.

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pandas groupby

Pandas DataFrame: GroupBy Examples

11 Oct 2017   Examples of specific ways to do what you want using groupby on Pandas Dataframes.

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data-science data-newsletter-5

Scaling Data Teams

09 Oct 2017   Needs of data teams are mostly around data access and sharing; Columnar databases are often more efficient for analytics; MS Excel is useful at many scales; Stakeholder communication is important to make your work more relevant; Use metrics to get to know how data products are being used.

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pyplot matplotlib

Matplotlib: Pyplot By Example

05 Oct 2017   Examples for common operations on PyPlot, like changing figure size, changing title and tick sizes, changing legends, etc.

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paper-summary embeddings tags

Paper Summary: WSABIE: Scaling Up To Large Vocabulary Image Annotation

05 Oct 2017   Summary of the 2011 article "WSABIE: Scaling Up To Large Vocabulary Image Annotation" by Weston et al.

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paper-summary tags neural-nets embeddings

Paper Summary: Recursive Neural Language Architecture for Tag Prediction

05 Oct 2017   Summary of the 2016 article "Recursive Neural Language Architecture for Tag Prediction" by Kataria.

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Thoughts on App Monetization with Examples from Popular Apps

05 Oct 2017   A couple of thoughts on what approaches seem to work best when optimizing monetization on web/mobile apps. Tips include: Focus on the First Purchase, Mix Free and Paid Features on the same interface, Give away freebies consistently.

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