How Long to Read Python Data Mining Quick Start Guide

How Long Does it Take to Read Python Data Mining Quick Start Guide?

It takes the average reader 3 hours and 1 minute to read Python Data Mining Quick Start Guide by Nathan Greeneltch

Assuming a reading speed of 250 words per minute. Learn more

Description

Explore the different data mining techniques using the libraries and packages offered by Python Key FeaturesGrasp the basics of data loading, cleaning, analysis, and visualizationUse the popular Python libraries such as NumPy, pandas, matplotlib, and scikit-learn for data miningYour one-stop guide to build efficient data mining pipelines without going into too much theoryBook 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 learnExplore the methods for summarizing datasets and visualizing/plotting dataCollect and format data for analytical workAssign data points into groups and visualize clustering patternsLearn how to predict continuous and categorical outputs for dataClean, filter noise from, and reduce the dimensions of dataSerialize a data processing model using scikit-learn’s pipeline featureDeploy the data processing model using Python’s pickle moduleWho 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.

How long is Python Data Mining Quick Start Guide?

Python Data Mining Quick Start Guide by Nathan Greeneltch is 181 pages long, and a total of 45,431 words.

This makes it 61% the length of the average book. It also has 56% more words than the average book.

How Long Does it Take to Read Python Data Mining Quick Start Guide Aloud?

The average oral reading speed is 183 words per minute. This means it takes 4 hours and 8 minutes to read Python Data Mining Quick Start Guide aloud.

What Reading Level is Python Data Mining Quick Start Guide?

Python Data Mining Quick Start Guide is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Python Data Mining Quick Start Guide?

Python Data Mining Quick Start Guide by Nathan Greeneltch is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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