DATA MІNІNG ІN PУTHОN

LEARN EVERYTHING ABOUT DATA MINING WITH PYTHON FOR REAL LIFE SITUATIONS AND SOLUTIONS

Traditionally, organizations use data tactically - to manage operations. For a competitive edge, strong organizations use data strategically - to expand the business, to improve profitability, to reduce costs, and to market more effectively. Data mining creates information assets that an organization can leverage to achieve these strategic objectives. This book addresses the key questions executives have about data mining in python.

As a dynamic, general purpose and object-oriented programming language, Python is used widely by developers across the world for building a variety of software applications. Unlike other modern programming languages, Python enables programmers to express concept with less and readable code. Data mining with python is a whole new level.

Python is dynamically-typed and garbage-collected. It supports multiple programming paradigms, including structured, object-oriented and functional programming. It is often described as a "batteries included" language due to its comprehensive standard library.

In this book, you will learn:
Data mining in practical terms
How to use a wide variety of libraries and techniques in data mining
How to find, manipulate, and analyze data using Python
Step-by-step instructions on creating real-world applications of data mining techniques
How to apply data mining concepts to real-world problems
How to predict the outcome of sports matches based on past results
How to use APIs to download datasets from social media and other online services
How to find and extract good features from difficult datasets
How to create models that solve real-world problems
How to design and develop data mining applications using a variety of datasets
How to set up reproducible experiments and generate robust results
How to compute on big data, including real-time data from the Internet
And lots more…
If you are a programmer who wants to get started with data mining or a beginner who wants to learn data mining with python, this book is perfectly for you.

As a newbie or expert, this book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis, then to data types including text, images, and graphs. In every chapter, we create models that solve real-world problems.