Macroeconomic Analysis of the US Economy

Do It Yourself (DIY) with AI => Version: 1.0, June 2025

This open-access book is designed as a practical guide for those who want to use Artificial Intelligence (AI) — including Data Science, Machine Learning, and Deep Learning — to analyze the macroeconomic state of the US economy.

🧠 From data to diagnosis — learn how to use AI to forecast, interpret, and understand economic signals.

📄 Download the PDF book here

If you found this book useful and want to support future editions:

• Chapter 1: Introduction
• Chapter 2: Macroeconomic Analysis of the US Economy – part 1 (Data Science project)
• Chapter 3: Analysis of the US Economy – part 2 (Machine Learning project)
• Chapter 4: Analysis of the US Economy – part 3 (Deep Learning project)
• Chapter 5: Appendices

This book is an upgrade of the author's course projects on AI during 2024–2025. It covers real macroeconomic data from the Federal Reserve (FED), along with custom-built models and research. The book provides reproducible AI experiments for forecasting and economic analysis with high accuracy (~95%).

Target audience: AI learners, researchers, economists, investors, and anyone interested in independent macroeconomic diagnostics of the US economy.

Tools used:

• Python (with Jupyter Notebook)
• Anaconda3 📦 Install Anaconda from: https://www.anaconda.com/download
• Common ML/DL libraries (e.g., pandas, scikit-learn, keras)

This book is officially distributed through the author's GitHub repository and other approved platforms.
Redistribution from unofficial sources is not permitted.

Citation, linking, or quoting is allowed under the terms of the included LICENSE.
If you'd like to request permission for extended use, please contact the author.

📧 Contact: [email protected]

Created with passion. Updated with purpose. Enjoy the read — and feel free to experiment with the data!