Numpy Display Options: Examples and Reference
24 Mar 2020 Number formatting, array visualization and other options to visualize numpy elements, being especially useful for working in Jupyter notebooks.
Read More ›Pandas Display Options: Examples and Reference
24 Mar 2020 Variety of examples on how to set display options on Pandas, to control things like the number of rows, columns, number formatting, etc. Especially useful for working in Jupyter notebooks.
Read More ›Pandas Dataframes: CSV Quoting and Escaping Strategies
24 Mar 2020 Reading and writing pandas dataframes to CSV files in a way that's safe and avoiding problems due to quoting, escaping and encoding issues.
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Paper Summary: Hidden Technical Debt in Machine Learning Systems
23 Mar 2020 Summary of the 2015 article "Hidden Technical Debt in Machine Learning Systems" by Sculley et al.
Read More ›Scikit-learn Pipelines: Custom Transformers and Pandas integration
08 Mar 2020 Examples and reference on how to write customer transformers and how to create a single sklearn pipeline including both preprocessing steps and classifiers at the end, in a way that enables you to use pandas dataframes directly in a call to fit.
Read More ›Numpy Sampling: Reference and Examples
07 Mar 2020 Sample from probability distributions and from lists, with and without weights. Examples using Python, Numpy and Scipy.
Read More ›Spark dataframe Examples: Reading and Writing Dataframes
23 Feb 2020 Some examples on how to read and write spark dataframes from sources such as S3 and databricks file systems.
Read More ›paper-summary machine-learning-engineering software-engineering
Paper Summary: Software Engineering for Machine Learning: A Case Study
25 Jan 2020 Summary of the 2019 article "Software Engineering for Machine Learning: A Case Study" by Amershi et al.
Read More ›Git branching: Reference and Examples
23 Jan 2020 Common use cases and examples for using branches on git, locally and on remotes.
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Paper Summary: Neural Machine Translation by Jointly Learning to Align and Translate
11 Jan 2020 Summary of the 2014 article "Neural Machine Translation by Jointly Learning to Align and Translate" by Bahdanau et al.
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