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💹 Machine Learning in Business Finance Using Python (2025)

📘 Title: Machine Learning in Business Finance Using Python
📚 Series: World Scientific Series on Financial Data Analytics
👨‍💼 Author: LIM KIAN GUAN
🏢 Publisher: World Scientific Publishing
📅 Year: 2025

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🚀 A Breakthrough Guide to Machine Learning in Finance

The integration of machine learning (ML) and Python has reshaped the financial industry, transforming how businesses manage risk, investment strategies, valuation, and decision-making.

“Machine Learning in Business Finance Using Python”, by Prof. Lim Kian Guan, bridges the gap between financial theory and modern AI applications, giving professionals and researchers the tools to build intelligent, data-driven financial systems.

This book belongs to the World Scientific Series on Financial Data Analytics (2025) — a leading academic collection that explores AI, data science, and quantitative finance with hands-on examples and real-world case studies.

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📚 What You’ll Learn in This Book

💡 Foundations of Machine Learning for Finance

• Overview of ML techniques for business and finance
• Key Python libraries: pandas, NumPy, scikit-learn, TensorFlow
• Understanding data preprocessing, feature engineering, and normalization

💹 Predictive Modeling & Forecasting

• Time series forecasting for stock prices and financial indicators
• Regression and classification models for credit scoring and loan risk
• Ensemble models (Random Forests, Gradient Boosting) in business analytics

📊 Financial Data Analysis with Python

• Data cleaning, visualization, and outlier detection
• Building financial dashboards with Matplotlib and Seaborn
• Integrating Python and Excel for financial modeling workflows

🤖 Advanced ML & Deep Learning Applications

• Neural networks for market trend prediction
• NLP for financial text and sentiment analysis
• Clustering for customer segmentation and portfolio optimization
• Reinforcement learning for algorithmic trading and decision-making

🧠 Business Applications & Case Studies

• Fraud detection and anti-money laundering systems
• Corporate credit risk modeling
• Forecasting financial performance and profitability
• Case studies from banking, fintech, and corporate finance

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👨‍💻 Who This Book Is For

✅ Financial analysts & data scientists integrating ML into business workflows
✅ Researchers & graduate students in finance, economics, and data analytics
✅ Banking professionals working on risk, credit, or compliance models
✅ Fintech developers building intelligent financial systems
✅ Educators seeking Python-based ML teaching material for finance courses

📈 Requires only basic Python and finance knowledge — every model is explained with step-by-step code.

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💡 Why This Book Stands Out

• 📊 Combines finance theory with machine learning practice
• 🧠 Written by Prof. Lim Kian Guan, a leading scholar in quantitative finance
• 🧩 Features Python code for real datasets and reproducible results
• 🔗 Connects AI methods with financial decision-making
• 🌍 Published by World Scientific, a globally respected academic press

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📥 Download or Read the Book Now

📩 👉 CLICK TO DOWNLOAD “Machine Learning in Business Finance Using Python” – Free PDF

🎯 Learn how to use Python and ML to drive smarter business and financial strategies.

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📌 “Combine the science of data with the strategy of finance — and redefine how business decisions are made.”

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