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Introduction to Machine Learning Chapter 1: Getting Started with Machine Learning What is Machine Learning?History and Evolution Key Concepts and Terminology Chapter 2: Types of Machine Learning Supervised Learning Unsupervised Learning Semi-supervised and Reinforcement Learning Chapter 3: Core Algorithms Linear Regression Decision Trees Clustering with K-Means Chapter 4: Evaluating Model Performance Metrics for Regression Metrics for Classification Cross-Validation Techniques Chapter 5: Practical Applications Machine Learning in Healthcare Machine Learning in Finance Machine Learning in Retail

Machine Learning in Finance

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