Treffer: Minimalist Data Wrangling with Python
Title:
Minimalist Data Wrangling with Python
Authors:
Publication Year:
2023
Subject Terms:
Applied computing not elsewhere classified, Modelling and simulation, Artificial intelligence not elsewhere classified, Concurrent/parallel systems and technologies, Programming languages, Software engineering not elsewhere classified, Numerical computation and mathematical software, data wrangling, data science, Python, numpy, scipy, pandas, matplotlib, seaborn, regression, classification, clustering, scikit-learn, time series, text processing, data frames, matrices, vectors, missing values, outliers, data cleansing, Open Software, Simulation and Modelling, Mathematical Software
Document Type:
Buch
book
Language:
unknown
DOI:
10.26187/deakin.21521319.v2
Availability:
Rights:
CC BY-NC-ND 4.0
Accession Number:
edsbas.D9B5ADCF
Database:
BASE
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 ttps://datawranglingpy.gagolewski.com/.