Skip to content

Wiley – Data Mining for Business Analytics: Concepts, Techniques and Applications in Python 2020

Updated August 10, 2026 19 MB
Wiley – Data Mining for Business Analytics: Concepts, Techniques and Applications in Python 2020

Download

File password: www.downloadly.ir

About this item

Descriptions

Data Mining for Business Analytics: Concepts, Techniques and Applications in Python, Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration. Readers will learn how to implement a variety of popular data mining algorithms in Python to tackle business problems and opportunities. It is a comprehensive resource for students pursuing courses in data mining, business analytics, and related courses within the domain of AI.

Book features

  • Implement popular data mining algorithms in Python (regression, classification, trees, neural nets, clustering, association rules).
  • Build end-to-end data mining workflows: data exploration, feature engineering, modeling, and evaluation.
  • Apply dimension reduction and visualization techniques to summarize high-dimensional data.
  • Evaluate predictive performance and avoid overfitting using appropriate validation and resampling methods.
  • Use time series forecasting and smoothing methods for business forecasting tasks.
  • Perform text mining and social network analytics using Python tools and libraries.
  • Translate model outputs into actionable business insights and case-study solutions.

Who this Book is for

  • Students taking courses in data mining, business analytics, or related AI subjects.
  • Aspiring and junior data analysts and data scientists who need practical Python modeling skills.
  • Business analysts and managers seeking data-driven decision-making techniques.
  • Software developers and engineers implementing analytics solutions in Python.
  • Researchers and practitioners looking for an applied, example-driven resource.
  • Anyone preparing for coursework or projects that require hands-on data mining with Python.

Specificatoin of Data Mining for Business Analytics: Concepts, Techniques and Applications in Python

  • Publisher : Wiley
  • Teacher : Galit Shmueli
  • Language : English
  • Level : All Levels
  • Pages: 610
  • Chapters: 21
  • Format: PDF

Content of Data Mining for Business Analytics: Concepts, Techniques and Applications in Python

Data Mining for Business Analytics_ Concepts, Techniques and Applications in Python Data Mining for Business Analytics_ Concepts, Techniques and Applications in Python

Pictures

Data Mining for Business Analytics_ Concepts, Techniques and Applications in Python

Installation Guide

Extract the files and Read with your favorite Software

Download Links

Downloadly

Download- 19 MB

Rapidgator

Download- 19 MB

Password file(s): www.downloadly.ir

File size

19 MB

What is included

  • Implement popular data mining algorithms in Python (regression, classification, trees, neural nets, clustering, association rules).
  • Build end-to-end data mining workflows: data exploration, feature engineering, modeling, and evaluation.
  • Apply dimension reduction and visualization techniques to summarize high-dimensional data.
  • Evaluate predictive performance and avoid overfitting using appropriate validation and resampling methods.
  • Use time series forecasting and smoothing methods for business forecasting tasks.
  • Perform text mining and social network analytics using Python tools and libraries.
  • Translate model outputs into actionable business insights and case-study solutions.

Screenshots

You might also want