Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Python: Data Analytics and Visualization

Buy

Understand, evaluate, and visualize data About This Book - Learn basic steps of data analysis and how to use Python and its packages - A step-by-step guide to predictive modeling including tips, tricks, and best practices - Effectively visualize a broad set of analyzed data and generate effective results Who This Book Is For This book is for Python Developers who are keen to get into data analysis and wish to visualize their analyzed data in a more efficient and insightful manner. What You Will Learn - Get acquainted with NumPy and use arrays and array-oriented computing in data analysis - Process and analyze data using the time-series capabilities of Pandas - Understand the statistical and mathematical concepts behind predictive analytics algorithms - Data visualization with Matplotlib - Interactive plotting with NumPy, Scipy, and MKL functions - Build financial models using Monte-Carlo simulations - Create directed graphs and multi-graphs - Advanced visualization with D3 In Detail You will start the course with an introduction to the principles of data analysis and supported libraries, along with NumPy basics for statistics and data processing. Next, you will overview the Pandas package and use its powerful features to solve data-processing problems. Moving on, you will get a brief overview of the Matplotlib API .Next, you will learn to manipulate time and data structures, and load and store data in a file or database using Python packages. You will learn how to apply powerful packages in Python to process raw data into pure and helpful data using examples. You will also get a brief overview of machine learning algorithms, that is, applying data analysis results to make decisions or building helpful products such as recommendations and predictions using Scikit-learn. After this, you will move on to a data analytics specialization-predictive analytics. Social media and IOT have resulted in an avalanche of data. You will get started with predictive analytics using Python. You will see how to create predictive models from data. You will get balanced information on statistical and mathematical concepts, and implement them in Python using libraries such as Pandas, scikit-learn, and NumPy. You'll learn more about the best predictive modeling algorithms such as Linear Regression, Decision Tree, and Logistic Regression. Finally, you will master best practices in predictive modeling. After this, you will get all the practical guidance you need to help you on the journey to effective data visualization. Starting with a chapter on data frameworks, which explains the transformation of data into information and eventually knowledge, this path subsequently cover the complete visualization process using the most popular Python libraries with working examples This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: ? Getting Started with Python Data Analysis, Phuong Vo.T.H &Martin Czygan ? Learning Predictive Analytics with Python, Ashish Kumar ? Mastering Python Data Visualization, Kirthi Raman Style and approach The course acts as a step-by-step guide to get you familiar with data analysis and the libraries supported by Python with the help of real-world examples and datasets. It also helps you gain practical insights into predictive modeling by implementing predictive-analytics algorithms on public datasets with Python. The course offers a wealth of practical guidance to help you on this journey to data visualization

(HTML tags aren't allowed.)

The AMA Handbook of Business Writing: The Ultimate Guide to Style, Grammar, Punctuation, Usage, Construction, and Formatting
The AMA Handbook of Business Writing: The Ultimate Guide to Style, Grammar, Punctuation, Usage, Construction, and Formatting

Just because you're not a born writer doesn't mean you should settle for less than perfect business documents. After all, every piece you write reflects directly on the quality of the product or service your business offers. Now, this helpful guide takes the guesswork out of more than 50 commonly used business documents, including:...

Medical Education at St Bartholomew's Hospital, 1123-1995
Medical Education at St Bartholomew's Hospital, 1123-1995

Medical Education at St Bartholomew's Hospital traces the evolution of medical education at Barts from its foundation in 1123 to the college's merger with The London and Queen Mary & Westfield College in 1995. Drawing on the hospital's rich archives, it investigates how training was institutionalised and organised at Barts to...

Microsoft Windows Script Host 2.0 Developer's Guide (With CD-ROM)
Microsoft Windows Script Host 2.0 Developer's Guide (With CD-ROM)

This book isn't a complete reference to all scripting-related topics—it's a primer that begins with simple step-by-step instructions. Also, because most power users and system administrators know a bit about batch and macro programming but aren't familiar with object-oriented programming, this book provides an introduction to using objects...


Moodle Course Design Best Practices
Moodle Course Design Best Practices

Learn the best practices to design and develop interactive and highly effective Moodle courses

Overview

  • Explore Moodle's course development features like themes, social media plugins and archiving content
  • Bring together instructional materials, social interaction, and student management...
MongoDB Basics
MongoDB Basics

Need a quick and easy to understand introduction to MongoDB and NoSQL databases? MongoDB Basics, from The Definitive Guide to MongoDB, 2E, shows you how a document-oriented database system differs from a relational database, and how to install and get started using it. You'll also learn MongoDB design basics, including...

The SIAM 100-Digit Challenge: A Study in High-Accuracy Numerical Computing
The SIAM 100-Digit Challenge: A Study in High-Accuracy Numerical Computing
"Destined to be a classic of modern computational science... a gourmet feast in ten courses." from the foreword by David H. Bailey, Lawrence Berkeley National Laboratory."

The authors, members of teams that solved all 10 problems, show in detail multiple approaches for solving each problem,
...
©2019 LearnIT (support@pdfchm.net) - Privacy Policy