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Build a Robo-Advisor with Python (From Scratch) Automate your financial and investment decisions (Final Release) - Rob Reider, Alex Michalka 2025 PDF Manning Publications BOOKS
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Build a Robo-Advisor with Python (From Scratch) Automate your financial and investment decisions (Final Release)
Author: Rob Reider, Alex Michalka
Year: 2025
Pages: 335
Format: PDF
File size: 19.1 MB
Language: ENG



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Book Description: Build a RoboAdvisor with Python From Scratch Automate your financial and investment decisions Final Release is a comprehensive guide to creating a robo-advisory platform using Python programming language. The book covers all aspects of building a robo-advisory platform, from data collection and analysis to portfolio management and risk assessment. It provides readers with a solid foundation in Python programming and machine learning techniques that can be applied to various financial applications. The book begins by introducing the concept of robo-advisors and their importance in today's financial landscape. It then delves into the details of building a robo-advisory platform, starting with data collection and analysis, followed by portfolio management and risk assessment. The author emphasizes the need for a personal paradigm for perceiving the technological process of developing modern knowledge as the basis for survival in a rapidly changing world. The book is divided into four parts: Part 1: Data Collection and Preprocessing, Part 2: Data Analysis and Feature Engineering, Part 3: Portfolio Management and Risk Assessment, and Part 4: Implementation and Deployment. Each part builds on the previous one, providing a step-by-step guide to creating a fully functional robo-advisory platform.
Создание RoboAdvisor с помощью Python с нуля Автоматизируйте свои финансовые и инвестиционные решения Final Release - это всеобъемлющее руководство по созданию робо-консультативной платформы с использованием языка программирования Python. Книга охватывает все аспекты построения робо-консультативной платформы, от сбора и анализа данных до управления портфелем и оценки рисков. Он предоставляет читателям прочную основу в программировании на Python и техниках машинного обучения, которые могут быть применены к различным финансовым приложениям. Книга начинается с введения концепции робо-советников и их важности в современном финансовом ландшафте. Затем он углубляется в детали создания робо-консультативной платформы, начиная со сбора и анализа данных, а затем управления портфелем и оценки рисков. Автор подчеркивает необходимость личностной парадигмы восприятия технологического процесса развития современного знания как основы выживания в быстро меняющемся мире. Книга состоит из четырех частей: Часть 1: Сбор и предварительная обработка данных, Часть 2: Анализ данных и разработка функций, Часть 3: Управление портфелем и оценка рисков и Часть 4: Внедрение и развертывание. Каждая часть опирается на предыдущую, предоставляя пошаговое руководство по созданию полнофункциональной робо-консультативной платформы.
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