December 2024
Beginner to intermediate
505 pages
10h 54m
English
Content preview from Financial Data Analysis Using Python
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CHAPTER 9
MACHINE LEARNING AND DEEP LEARNING IN FINANCE
INTRODUCTION
This chapter discusses machine learning (ML) by applying it to financial data. With their ability to process massive amounts of market data, ML algorithms become powerful tools for supporting decisions. We will delve into the foundational theories and the basis of ML tools. The chapter will guide us through the universal steps for creating ML models and allow us to harness the potential of this technology. We will explore the functionalities of the scikit-learn library, a powerful Python tool that leads the way in ML applications in finance. The library helps with practically understanding the theoretical underpinnings of ML tools and their application to financial analysis ...
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