Szczegóły ebooka

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

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

Nathan Greeneltch

Ebook
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.
  • 1. Data Mining and Getting Started with Python Tools
  • 2. Basic Terminology and Our End-to-End Example
  • 3. Collecting, Exploring, and Visualizing Data
  • 4. Cleaning and Readying Data for Analysis
  • 5. Grouping and Clustering Data
  • 6. Prediction with Regression and Classification
  • 7. Advanced Topics - Building a Data Processing Pipeline and Deploying It
  • Tytuł: Python Data Mining Quick Start Guide. A beginner's guide to extracting valuable insights from your data
  • Autor: Nathan Greeneltch
  • Tytuł oryginału: Python Data Mining Quick Start Guide. A beginner's guide to extracting valuable insights from your data
  • ISBN: 9781789806403, 9781789806403
  • Data wydania: 2019-04-25
  • Format: Ebook
  • Identyfikator pozycji: e_2atc
  • Wydawca: Packt Publishing