101 Data Science Drawings

Who this book is for: People who previously learned statistics, machine learning, econometrics, SQL, and want to refresh with colorful one-pagers (think flash cards!). This book is intentionally informal, colorful and raw. You'll find scribbles, corrections, obscure handwriting that will make you learn more actively.
Inside you'll find sketches on:
Supervised Learning: regression, decision trees, random forests, cross-validation...
Unsupervised Learning: clustering, dimensionality reduction, topic modeling...
Statistics & Econometrics: hypothesis testing, causal inference...
SQL: joins, aggregations, window functions...
And much more...

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