Journal
Posts and long-form series on AI, startups, venture capital, and more.
All Posts
Data Science Things Roundup #8
Data Science Things Roundup #8: Dive into LIME for model interpretation, sklearn-expertsys for interpretable classifiers, and the value of nearest neighbors.
BaseN Encoding Grid Search in Category Encoders
Explore category_encoders' BaseN encoder for representing categorical data. Learn how to use scikit-learn's grid search to find the optimal encoding base.
Category Encoders accepted into scikit-learn-contrib
Category Encoders, a Python library for encoding categorical variables, has been accepted into the scikit-learn-contrib ecosystem. A project milestone!
Data Science Things Roundup #7
Data Science Things Roundup #7: Python-focused edition featuring Intel's Python Distribution, Go-Python for extensions, and PyFilesystem for unified access.
Category Encoders now on conda-forge
The category_encoders Python package is now available on conda-forge, making installation easier for Conda users. Learn about the package and feedstock.
Data Science Things Roundup #6
Data Science Things Roundup #6: Focuses on calendar visualizations with D3.js Calendar Heatmap and Bostock's Calendar View, plus insights on coding interviews.
Introducing unified glob-syntax in git-pandas
Explore the unified glob syntax (`include_globs`, `ignore_globs`) for git-pandas v2.0, offering flexible file pattern specification and usability.
Parallelizing cumulative blame in git-pandas with joblib
Boost git-pandas cumulative blame analysis performance with joblib. Parallel processing via multithreading speeds up this costly operation.
Growing Pedal Wrencher
How I worked to grow pedal wrencher after the launch hype faded, with blogging, user education, profile and registration redesigns, and social media.
Exit Interviews in Startups
Exit interviews are crucial for startups. Discover methods to gather honest feedback, identify systemic issues, and enhance retention from departing employees.