GNU Coreutils File Processing: head and tail Examples
27 Oct 2017 GNU utilities line head and tail are very useful for text file processing under Linux or other OS
Read More ›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.
Kaggle NYC Taxi Trips Competition: Overview and Results
17 Oct 2017 Overview of Kaggle competition: New York City Taxi Trip Duration.
Read More ›Jupyter Notebook: Tips and Tricks with Examples
16 Oct 2017 Getting more done with Jupyter notebook.
Read More ›Pandas DataFrame: GroupBy Examples
11 Oct 2017 Examples of specific ways to do what you want using groupby on Pandas Dataframes.
Read More ›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.
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.
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.
paper-summary tags neural-nets embeddings
Paper Summary: Recursive Neural Language Architecture for Tag Prediction
04 Oct 2017 Summary of the 2016 article "Recursive Neural Language Architecture for Tag Prediction" by Kataria.
Thoughts on App Monetization with Examples from Popular Apps
04 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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