If you're planning to become a Machine Learning Engineer, Data Scientist or want to refresh your memory before your interviews, this handbook is for you.  In it, we'll cover the key Machine Learning algorithms you'll need to know as a Data Scientist, Machine Learning Engineer, Machine Learning Researcher, and

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This handbook provides an overview of machine learning fundamentals, key concepts, popular algorithms like XGBoost and AdaBoost, and techniques for feature selection.

Machine Learning Fundamentals Handbook – Key Concepts, Algorithms, and Python Code Examples

Chapter 2: Most Popular Machine Learning Algorithms

Chapter 3: Feature Selection in Machine Learning

Chapter 4: Resampling Techniques in Machine Learning