Python Data Mining Quick Start Guide

Python Data Mining Quick Start Guide

A beginner's guide to extracting valuable insights from your data


This eBook includes

Formats : PDF, EPUB, MOBI (Downlodable)

Pages : 188

ISBN : 9781789806403

Language : English

About the Book

Book description

Explore the different data mining techniques using the libraries and packages offered by Python

Key Features

  • Grasp the basics of data loading, cleaning, analysis, and visualization
  • Use the popular Python libraries such as NumPy, pandas, matplotlib, and scikit-learn for data mining
  • Your one-stop guide to build efficient data mining pipelines without going into too much theory

Book Description

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.

What you will learn

  • Explore the methods for summarizing datasets and visualizing/plotting data
  • Collect and format data for analytical work
  • Assign data points into groups and visualize clustering patterns
  • Learn how to predict continuous and categorical outputs for data
  • Clean, filter noise from, and reduce the dimensions of data
  • Serialize a data processing model using scikit-learn’s pipeline feature
  • Deploy the data processing model using Python’s pickle module

Who this book is for

Python developers interested in getting started with data mining will love this book. Budding data scientists and data analysts looking to quickly get to grips with practical data mining with Python will also find this book to be useful. Knowledge of Python programming is all you need to get started.

Python Data Mining Quick Start Guide

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Author Details

Packt Publishing

Packt Publishing

Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.

Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.

As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

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