Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Numerical Computing with Python: Harness the power of Python to analyze and find hidden patterns in the data

Buy

Understand, explore, and effectively present data using the powerful data visualization techniques of Python

Key Features

  • Use the power of Pandas and Matplotlib to easily solve data mining issues
  • Understand the basics of statistics to build powerful predictive data models
  • Grasp data mining concepts with helpful use-cases and examples

Book Description

Data mining, or parsing the data to extract useful insights, is a niche skill that can transform your career as a data scientist Python is a flexible programming language that is equipped with a strong suite of libraries and toolkits, and gives you the perfect platform to sift through your data and mine the insights you seek. This Learning Path is designed to familiarize you with the Python libraries and the underlying statistics that you need to get comfortable with data mining.

You will learn how to use Pandas, Python's popular library to analyze different kinds of data, and leverage the power of Matplotlib to generate appealing and impressive visualizations for the insights you have derived. You will also explore different machine learning techniques and statistics that enable you to build powerful predictive models.

By the end of this Learning Path, you will have the perfect foundation to take your data mining skills to the next level and set yourself on the path to become a sought-after data science professional.

This Learning Path includes content from the following Packt products:

  • Statistics for Machine Learning by Pratap Dangeti
  • Matplotlib 2.x By Example by Allen Yu, Claire Chung, Aldrin Yim
  • Pandas Cookbook by Theodore Petrou

What you will learn

  • Understand the statistical fundamentals to build data models
  • Split data into independent groups
  • Apply aggregations and transformations to each group
  • Create impressive data visualizations
  • Prepare your data and design models
  • Clean up data to ease data analysis and visualization
  • Create insightful visualizations with Matplotlib and Seaborn
  • Customize the model to suit your own predictive goals

Who this book is for

If you want to learn how to use the many libraries of Python to extract impactful information from your data and present it as engaging visuals, then this is the ideal Learning Path for you. Some basic knowledge of Python is enough to get started with this Learning Path.

Table of Contents

  1. Journey from Statistics to Machine Learning
  2. Tree-Based Machine Learning Models
  3. K-Nearest Neighbors and Naive Bayes
  4. Unsupervised Learning
  5. Reinforcement Learning
  6. Hello Plotting World!
  7. Visualizing Online Data
  8. Visualizing Multivariate Data
  9. Adding Interactivity and Animating Plots
  10. Selecting Subsets of Data
  11. Boolean Indexing
  12. Index Alignment
  13. Grouping for Aggregation, Filtration, and Transformation
  14. Restructuring Data into a Tidy Form
  15. Combining Pandas Objects
(HTML tags aren't allowed.)

Software Configuration Management
Software Configuration Management

An effective systems development and design process is far easier to explain than it is to implement. A framework is needed that organizes the life cycle activities that form the process. This framework is Configuration Management (CM).

Software Configuration Management discusses the framework from a standards viewpoint, using...

SystemC and SystemC-AMS in Practice: SystemC 2.3, 2.2 and SystemC-AMS 1.0
SystemC and SystemC-AMS in Practice: SystemC 2.3, 2.2 and SystemC-AMS 1.0

This book describes how engineers can make optimum use of the two industry standard analysis/design tools, SystemC and SystemC-AMS.  The authors use a system-level design approach, emphasizing how SystemC and SystemC-AMS features can be exploited most effectively to analyze/understand a given electronic system and explore the design...

Policy-Based Network Management: Solutions for the Next Generation (The Morgan Kaufmann Series in Networking)
Policy-Based Network Management: Solutions for the Next Generation (The Morgan Kaufmann Series in Networking)
Policy-Based Network Management (PBNM) systems enable business rules and procedures to be translated into policies that configure and control the network and its services. Those who manage network systems are aware that this approach can benefit both network management as well as the development of applications that use network services; however,...

XSLT
XSLT
XSLT documents a core technology for processing XML. Originally created for page layout, XSLT (Extensible Stylesheet Transformations) is now much more: a general-purpose translation tool, a system for reorganizing document content, and a way to generate multiple results-- such as HTML, WAP, and SVG--from the same content.

What
...
Handbook of Time Series Analysis, Signal Processing, and Dynamics
Handbook of Time Series Analysis, Signal Processing, and Dynamics

It is hoped that this book will serve both as a text in time-series analysis and signal processing and as a reference book for research workers and practitioners. Timeseries analysis and signal processing are two subjects which ought to be treated as one; and they are the concern of a wide range of applied disciplines including statistics,...

Beginning BBC micro:bit: A Practical Introduction to micro:bit Development
Beginning BBC micro:bit: A Practical Introduction to micro:bit Development
Learn essential concepts and techniques to build simple-to-advanced projects and overcome common programming challenges in micro:bit development. 


Beginning BBC micro:bit will take you through the complete features and capabilities of the micro:bit controller, enabling you to program and...
©2019 LearnIT (support@pdfchm.net) - Privacy Policy