Practical Data Science Cookbook Data pre-processing, analysis and visualization using R and Python 英文原版 数据科学实战手册 R数据科学 普拉罕·塔塔 Prabhanjan Tattar
￥ 438 九五品
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北京昌平
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作者Prabhanjan N. Tattar
出版社Packt Publishing
ISBN9781787129627
出版时间2017
装帧平装
页数434页
上书时间2020-01-16
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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
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