Practical Data Science Cookbook - Second Edition: Data pre-processing, analysis and visualization using R and Python (English Edition) - Softcover

Tattar, Prabhanjan; Ojeda, Tony; Patrick Murphy, Sean

Softcover

ISBN 10: 1787129624 ISBN 13: 9781787129627

Verlag: Packt Publishing, 2017

Inhaltsangabe

Over 85 recipes to help you complete real-world data science projects in R and Python

About This Book

• Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data
• Get beyond the theory and implement real-world projects in data science using R and Python
• Easy-to-follow recipes will help you understand and implement the numerical computing concepts

Who This Book Is For

If you are an aspiring data scientist who wants to learn data science and numerical programming concepts through hands-on, real-world project examples, this is the book for you. Whether you are brand new to data science or you are a seasoned expert, you will benefit from learning about the structure of real-world data science projects and the programming examples in R and Python.

What You Will Learn

• Learn and understand the installation procedure and environment required for R and Python on various platforms
• Prepare data for analysis by implement various data science concepts such as acquisition, cleaning and munging through R and Python
• Build a predictive model and an exploratory model
• Analyze the results of your model and create reports on the acquired data
• Build various tree-based methods and Build random forest

In Detail

As increasing amounts of data are generated each year, the need to analyze and create value out of it is more important than ever. Companies that know what to do with their data and how to do it well will have a competitive advantage over companies that don't. Because of this, there will be an increasing demand for people that possess both the analytical and technical abilities to extract

Über diesen Titel

Über die Autorin bzw. den Autor

Prabhanjan Tattar has 9 years of experience as a statistical analyst. His main thurst has been to explain statistical and machine learning techniques through elegant programming which will clear the nuances of the underlying mathematics. Survival analysis and statistical inference are his main areas of research/interest, and he has published several research papers in peer-reviewed journals and also has authored two books on R

Details zur Ausgabe

• Verlag: Packt Publishing
• Erscheinungsdatum: 2017
• Sprache: Englisch
• ISBN 10: 1787129624
• ISBN 13: 9781787129627
• Einband: Taschenbuch
• Auflage: 2
• Anzahl der Seiten: 434
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar