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Data Science with Python|Reactive Publishing

Data Science with Python : AI Applications for Finance

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Overview

Reactive Publishing

In a world where algorithms dominate markets and data drives decisions, Data Science with Python: AI Applications for Finance equips you with the tools and techniques to lead the charge. Whether you're an aspiring quant, a financial analyst, or a seasoned professional looking to integrate cutting-edge AI into your workflow, this comprehensive guide delivers the essential knowledge you need to thrive in modern finance.

Inside, you'll explore:

  • Core Python foundations tailored for financial modeling and analytics

  • Step-by-step implementations of machine learning and deep learning in trading, risk management, and portfolio optimization

  • Real-world case studies applying AI to fraud detection, robo-advisory systems, and algorithmic trading

  • Time series forecasting using LSTM, ARIMA, and Prophet

  • How to harness NLP for sentiment analysis on market data and news feeds

  • Deployment strategies for scalable AI models in production environments

Each chapter blends theoretical insights with practical, hands-on Python code examples, ensuring you not only understand the concepts-but can build and deploy them immediately.

Whether you're building automated trading systems, enhancing financial decision-making, or preparing for the future of fintech, this book is your roadmap to mastering the intersection of AI, Python, and finance.


This item is Non-Returnable

Details

  • ISBN-13: 9798316915309
  • ISBN-10: 9798316915309
  • Publisher: Independently Published
  • Publish Date: April 2025
  • Dimensions: 9 x 6 x 1.42 inches
  • Shipping Weight: 2.06 pounds
  • Page Count: 712

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