Python Data Mining Quick Start Guide A Beginners Guide To Extracting Valuable Insights From Your Data(1st Edition)
Authors:
Nathan Greeneltch
In Stock
Shipment time
Expected shipping within 2 DaysPopular items with books
Total Price:
$0
Book details
ISBN: 1789800269, 978-1789800265
Book publisher: Packt Publishing (April 25, 2019)
Book Summary: Explore the different data mining techniques using the libraries and packages offered by PythonKey FeaturesGrasp 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 DescriptionData 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 learnExplore 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 forPython 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.Table of ContentsData Mining and Getting Started with Python ToolsBasic Terminology and Our End-to-End ExampleCollecting, Exploring, and Visualizing DataCleaning and Readying Data for AnalysisGrouping and Clustering DataPrediction with Regression and ClassificationAdvanced Topics - Building a Data Processing Pipeline and Deploying It
Customers also bought these books
Frequently Bought Together
The AI Edge Sales Strategies For Unleashing The Power Of AI To Save Time Sell More And Crush The Competition Jeb Blount - 1st Edition
Jeb Blount
ISBN: 1394244479, 978-1394244478
$0 $20.84
Sie Exam Prep 2024 2025 Complete Review + 550 Questions And Detailed Answer Explanations For The Finra Securities Industry Essentials Exam - 1st Edition
Newstone Test Prep
ISBN: 1998805387, 978-1998805389
$0 $28.49
New Jersey Student Learning Assessments NJSLA Test Practice Grade 6 - 1st Edition
Lumos Learning
ISBN: 1689670355, 978-1689670357
$0 $99.99
An Introduction To Partial Differential Equations With MATLAB - 3rd Edition
Matthew P. Coleman
ISBN: 1032639385, 978-1032639383
$0 $104.00
Hbase Design Patterns Design And Implement Successful Patterns To Develop Scalable Applications With Hbase - 1st Edition
Mark Kerzner
ISBN: 1783981040, 978-1783981045
$0 $22.26
DP 300 Administering Relational Databases On Microsoft Azure Exam Cram Notes - 1st Edition
IP Specialist
ISBN: 979-8407351597
$0 $13.09Top Reviews for Books
