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Python Data Mining Quick Start Guide 封面

Python Data Mining Quick Start Guide

Nathan Greeneltch

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内容简介

Data mining is a necessary and predictable response to the dawn of the information age. It is typically defined as the pattern and/ or trend discovery phase in the data mining pipeline, and Python is a popular tool for performing these tasks as it offers a wide variety of tools for data mining.This book will serve as a quick introduction to the concept of data mining and putting it to practical use with the help of popular Python packages and libraries. You will get a hands-on demonstration of working with different real-world datasets and extracting useful insights from them using popular Python libraries such as NumPy, pandas, scikit-learn, and matplotlib. You will then learn the different stages of data mining such as data loading, cleaning, analysis, and visualization. You will also get a full conceptual description of popular data transformation, clustering, and classification techniques.By the end of this book, you will be able to build an efficient data mining pipeline using Python without any hassle.

书籍信息

作者Nathan Greeneltch
出版社Packt Publishing
出版时间2019-04-25
ISBN9781789806403
分类科学技术-工业技术
格式EPUB
完结状态连载中
章节数168