paper-summary machine-learning
Paper Summary: Statistical Modeling: The Two Cultures
02 Nov 2018 Summary of the 2001 article "Statistical Modeling: The Two Cultures" by Leo Breiman.
Gnu Awk: One-line Examples
28 Sep 2018 Examples on how to use awk commands to process text information on shell scripts.
Read More ›Interactive controls for Jupyter notebooks: Python Examples
20 Sep 2018 Examples on how to add interactive controls to jupyter notebooks.
Read More ›Caching Function Results in Python: Examples using Joblib and Functools
15 Sep 2018 In many cases (web development, data analysis, etc) it's useful to be able to store results that take long to re-compute. These solutions allow you to save results (either in memory or on disk) so that all function calls after the first one become constant-time lookups.
Read More ›Risk in Machine Learning Models
06 Sep 2018 Machine Learning models can make actual decisions that affect your business. However, things can go wrong, which introduces risk that must be dealt with.
Read More ›Paper Summary: SMOTE: Synthetic Minority Over-sampling Technique
02 Sep 2018 Summary of the 2002 article "SMOTE: Synthetic Minority Over-sampling Technique" by Chawla et al.
scikit-learn production machine-learning-engineering
Heads-up for Deploying Scikit-learn Models to Production: Quick Checklist
01 Sep 2018 A couple of tips for addressing common problems and unexpected situations when using scikit-learn models in production..
Cross-Validation Examples with Scikit-Learn
01 Sep 2018 Using cross-validation within scikit-learn.
Read More ›Mutate for Pandas Dataframes: Examples with Assign
15 Jul 2018 Assign is a function that mutates a dataframe in place and can be used for chained operations.
Read More ›Pandas Query Examples: SQL-like queries in dataframes
05 Jul 2018 Use SQL-like syntax to perform in-place queries on pandas dataframes.
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