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Series: Introductory Machine Learning

Anomaly/Outlier Detection

Unveiling Anomalies with Outlier Detection in Machine Learning

Classification

ROC, PR, Confusion Matrix

Linear and Nonlinear Regression

Navigating Trends with Linear and Nonlinear Regression in Machine Learning

Clustering

Unraveling Patterns with Clustering in Machine Learning

Probability Theory and Random Variables

Understanding Probability Theory and Random Variables in the Context of Machine Learning

Tetris and Machine Learning

Machine Learning and its applications to the classic videogame: Tetris

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