Author | : Alvaro Fuentes |
Publisher | : Packt Publishing Ltd |
Total Pages | : 330 |
Release | : 2018-12-28 |
ISBN 10 | : 9781789134544 |
ISBN 13 | : 1789134544 |
Language | : EN, FR, DE, ES & NL |
Related Books
Language: en
Pages: 330
Pages: 330
Step-by-step guide to build high performing predictive applications Key Features Use the Python data analytics ecosystem to implement end-to-end predictive anal
Language: en
Pages: 346
Pages: 346
Enhance your simulation modeling skills by creating and analyzing digital prototypes of a physical model using Python programming with this comprehensive guide
Language: en
Pages: 354
Pages: 354
Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python About This Book A step-by-step
Language: en
Pages: 602
Pages: 602
This book will make the link between data cleaning and preprocessing to help you design effective data analytic solutions Key Features Develop the skills to per
Language: en
Pages: 316
Pages: 316
Get well-versed with traditional as well as modern natural language processing concepts and techniques Key Features Perform various NLP tasks to build linguisti
Language: en
Pages: 168
Pages: 168
Get to grips with the most popular Python packages that make data analysis possible Key Features Explore the tools you need to become a data analyst Discover pr
Language: en
Pages: 448
Pages: 448
Master predictive analytics, from start to finish Start with strategy and management Master methods and build models Transform your models into highly-effective
Language: en
Pages: 660
Pages: 660
Gain practical insights by exploiting data in your business to build advanced predictive modeling applications About This Book A step-by-step guide to predictiv
Language: en
Pages: 292
Pages: 292
Plan, build, deploy, and monitor data solutions on Azure KEY FEATURES ● Work with PostgreSQL, MySQL, and CosmosDB databases on Microsoft Azure. ● Work with
Language: en
Pages: 360
Pages: 360
This book focuses on key Python analytics and algorithmic trading libraries used for backtesting. With the help of practical examples, you will learn the princi