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Treffer: Minimalist Data Wrangling with Python

Title:
Minimalist Data Wrangling with Python
Authors:
Gagolewski, Marek
Publication Year:
2022
Collection:
Computer Science
Subject Terms:
Computer Science - Machine Learning
Document Type:
Report Working Paper
DOI:
10.5281/zenodo.6451068
Access URL:
http://arxiv.org/abs/2211.04630
Accession Number:
edsarx.2211.04630
Database:
arXiv

Weitere Informationen

Minimalist Data Wrangling with Python is envisaged as a student's first introduction to data science, providing a high-level overview as well as discussing key concepts in detail. We explore methods for cleaning data gathered from different sources, transforming, selecting, and extracting features, performing exploratory data analysis and dimensionality reduction, identifying naturally occurring data clusters, modelling patterns in data, comparing data between groups, and reporting the results. This textbook is a non-profit project. Its online and PDF versions are freely available at https://datawranglingpy.gagolewski.com/.
Comment: Release: v1.0.2.9001 (2022-11-09T12:17:50+1100)