2nd ed. — O’Reilly, 2020. — 368 p. — ISBN: 978-1492072942. Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide—now including examples in Python as well as R—explains how to apply...
Packt Publishing, 2021. — 407 p. — ISBN 978-1-80107-415-5. Code Files Only! Make informed decisions using data analytics, machine learning, and data visualizations Key Features Take raw data and transform it to add value to your organization Learn the art of telling stories with your data to engage with your audience Apply machine learning algorithms to your data with a few...
Packt Publishing, 2021. — 499 p. — ISBN 978-1-80107-129-1. Code Files Only! A comprehensive guide for data scientists to master effective data cleaning tools and techniques Key Features Master data cleaning techniques in a language-agnostic manner Learn from intriguing hands-on examples from numerous domains, such as biology, weather data, demographics, physics, time series,...
Комментарии