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Название: Data Analytics for Finance Using Python
Автор: Nitin Jaglal Untwal, Utku Kose
Издательство: CRC Press
Год: 2025
Страниц: 138
Язык: английский
Формат: pdf (true), epub
Размер: 12.3 MB
Unlock the power of data analytics in finance with this comprehensive guide. Data Analytics for Finance Using Python is your key to unlocking the secrets of the financial markets. In this book, you’ll discover how to harness the latest data analytics techniques, including Machine Learning and inferential statistics, to make informed investment decisions and drive business success. With a focus on practical application, this book takes you on a journey from the basics of data preprocessing and visualization to advanced modeling techniques for stock price prediction. This book is designed to provide finance professionals, researchers, and students with a comprehensive guide to the application of data analytics in finance. The book covers a wide range of topics, from the basics of data preprocessing and visualization to advanced Machine Learning models and inferential statistical techniques for stock price prediction. This book provides a strong basic foundation for Machine Learning and its application in finance. It emphasizes various Machine Learning algorithms and their application to the finance discipline. The advanced Machine Learning concepts are discussed lucidly over their practical application and theoretical understanding. The topics covered in the book act as a step-by-step guide for the application of Machine Learning tools in finance.
Автор: Nitin Jaglal Untwal, Utku Kose
Издательство: CRC Press
Год: 2025
Страниц: 138
Язык: английский
Формат: pdf (true), epub
Размер: 12.3 MB
Unlock the power of data analytics in finance with this comprehensive guide. Data Analytics for Finance Using Python is your key to unlocking the secrets of the financial markets. In this book, you’ll discover how to harness the latest data analytics techniques, including Machine Learning and inferential statistics, to make informed investment decisions and drive business success. With a focus on practical application, this book takes you on a journey from the basics of data preprocessing and visualization to advanced modeling techniques for stock price prediction. This book is designed to provide finance professionals, researchers, and students with a comprehensive guide to the application of data analytics in finance. The book covers a wide range of topics, from the basics of data preprocessing and visualization to advanced Machine Learning models and inferential statistical techniques for stock price prediction. This book provides a strong basic foundation for Machine Learning and its application in finance. It emphasizes various Machine Learning algorithms and their application to the finance discipline. The advanced Machine Learning concepts are discussed lucidly over their practical application and theoretical understanding. The topics covered in the book act as a step-by-step guide for the application of Machine Learning tools in finance.