Ascolta e leggi

Entra in un mondo di storie

  • Ascolta e leggi quanto vuoi
  • Oltre 400.000 titoli
  • Prova gratis per 14 giorni, poi 9.99€/mese
  • Disdici quando vuoi
  • Ascolta titoli esclusivi e Storytel Original
Prova Gratis
Device Banner Block 894x1036

Python Data Mining Quick Start Guide: A beginner's guide to extracting valuable insights from your data

Lingua
Inglese
Format
Categoria

Non-fiction

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.

© 2019 Packt Publishing (Ebook): 9781789806403

Data di uscita

Ebook: 25 aprile 2019

Potrebbero piacerti

Scegli il tuo piano

  • Più di 400.000 titoli

  • Kids Mode (accesso sicuro per bambini)

  • Scarica e ascolta offline

  • Disdici quando vuoi

Il più popolare

Unlimited

La scelta migliore per 1 utente. Ascolta e leggi quanto vuoi.

9.99 € /mese
14 giorni gratis
  • 1 account

  • Ascolto illimitato

  • Disdici quando vuoi

Prova ora

Unlimited Annuale

12 mesi al prezzo di 9. Ascolta e leggi quanto vuoi.

89.99 € /anno
14 giorni gratis
Risparmia il 25%
  • 1 account

  • Ascolto illimitato

  • Disdici quando vuoi

Prova ora

Basic

Per te che non sei un avido ascoltatore.

6.49 € /mese
14 giorni gratis
  • 1 account

  • 10 ore/mese

  • Disdici quando vuoi

Prova ora

Unlimited+

Storie per tutta la famiglia. Entrate insieme in un mondo di storie.

14.99 € /mese
7 giorni gratis
  • 2 account

  • Ascolto illimitato

  • Disdici quando vuoi

Prova ora