Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Python Data Science Essentials: A practitioner's guide covering essential data science principles, tools, and techniques, 3rd Edition


Gain useful insights from your data using popular data science tools

Key Features

  • A one-stop guide to Python libraries such as pandas and NumPy
  • Comprehensive coverage of data science operations such as data cleaning and data manipulation
  • Choose scalable learning algorithms for your data science tasks

Book Description

Fully expanded and upgraded, the latest edition of Python Data Science Essentials will help you succeed in data science operations using the most common Python libraries. This book offers up-to-date insight into the core of Python, including the latest versions of the Jupyter Notebook, NumPy, pandas, and scikit-learn.

The book covers detailed examples and large hybrid datasets to help you grasp essential statistical techniques for data collection, data munging and analysis, visualization, and reporting activities. You will also gain an understanding of advanced data science topics such as machine learning algorithms, distributed computing, tuning predictive models, and natural language processing. Furthermore, You'll also be introduced to deep learning and gradient boosting solutions such as XGBoost, LightGBM, and CatBoost.

By the end of the book, you will have gained a complete overview of the principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment instruments that make it easier to present your results to an audience of both data science experts and business users

What you will learn

  • Set up your data science toolbox on Windows, Mac, and Linux
  • Use the core machine learning methods offered by the scikit-learn library
  • Manipulate, fix, and explore data to solve data science problems
  • Learn advanced explorative and manipulative techniques to solve data operations
  • Optimize your machine learning models for optimized performance
  • Explore and cluster graphs, taking advantage of interconnections and links in your data

Who this book is for

If you're a data science entrant, data analyst, or data engineer, this book will help you get ready to tackle real-world data science problems without wasting any time. Basic knowledge of probability/statistics and Python coding experience will assist you in understanding the concepts covered in this book.

Table of Contents

  1. First Steps
  2. Data Munging
  3. The Data Pipeline
  4. Machine Learning
  5. Visualization, Insights, and Results
  6. Social Network Analysis
  7. Deep Learning Beyond the Basics
  8. Spark for Big Data
  9. Appendix A: Strengthen Your Python Foundations
(HTML tags aren't allowed.)

Artificial Intelligence (Handbook Of Perception And Cognition)
Artificial Intelligence (Handbook Of Perception And Cognition)
The problem of perception and cognition is understanding how the organism transforms, organizes, stores, and uses information arising from the world in sense data or memory. With this definition of perception and cognition in mind, this handbook is designed to bring together the essential aspects of this very large, diverse, and scattered...
Professional Java, JDK 5 Edition
Professional Java, JDK 5 Edition
Java continues to be the dominant language for building server applications, and the latest update to the Java platform—JDK 5—boasts many new features, including a metadata facility, generics, autoboxing, and improved user interface performance. Building upon Ivor Horton's Beginning Java, this book provides insight into these...
Usability and Internationalization of Information Technology
Usability and Internationalization of Information Technology
Today, more and more Web sites are providing content in multiple languages for targeted countries, and more and more products are being designed for cultural differences in mind. However, the concept of cross-cultural design has not yet become a strong force in the practitioners' and educators' agenda. This book looks at techniques, software,...

The Moscow Puzzles: 359 Mathematical Recreations
The Moscow Puzzles: 359 Mathematical Recreations
This book has been a classic in the former Soviet Union since it was first published in 1956, and it remains just as entertaining today. A master at making math fun for his high school students, Boris Kordemsky loaded this clever collection with a wide variety of math and logic related games and puzzles dealing with magic squares, tricky...
Eskimo Architecture: Dwelling and Structure in the Early Historic Period
Eskimo Architecture: Dwelling and Structure in the Early Historic Period
The architecture of Eskimo peoples represents a diversified and successful means of coping with one of the most severe climates humankind can inhabit. The popular image of the igloo is but one of the many structures examined by experts Lee and Reinhardt in the first book-length and arctic-wide study of this remarkable subject.


Fundamentals of Quantum Chemistry: Molecular Spectroscopy and Modern Electronic Structure Computations
Fundamentals of Quantum Chemistry: Molecular Spectroscopy and Modern Electronic Structure Computations

As quantum theory enters its second century, it is fitting to examine just how far it has come as a tool for the chemist. Beginning with Max Planck’s agonizing conclusion in 1900 that linked energy emission in discreet bundles to the resultant black-body radiation curve, a body of knowledge has developed with profound consequences in...

©2020 LearnIT (support@pdfchm.net) - Privacy Policy