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Questions, errata, concerns? Tweet me @residentmario, or reach out to me through my personal website.

This format was inspired in part by the "Little Book" series published by fellow Kaggler Bukun.

To disclose a potential conflict of interest: I used to work for Kaggle, and the notes are published using a Kaggle product (Kernels). However, these notes were assembled during my personal time; Kaggle just happens to be a convenient distribution platform.

Looking for more? Donne Martin's Data Science Notes follow a similar structure, albeit with a wider purview. And for more hands-on data science training, check out Kaggle Learn.