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Introduction
Syllabus
Contents
Exercise I: Exploratory Data Analysis (EDA)
Exercise II: k-Nearest Neighbors (k-NN)
Exercise III: Linear Regression
Catching Up & Happy Birthday
Exercise IV: Logistic Regression
Exercise V: Regularization
Exercise VI: Revisiting Linear and Logistic Regression
Exercise VII: Decision Trees and Random Forests
Exercise VIII: K-Means Clustering and PCA
Exercise IX: The Haxby Experiment (2001)
Exercise X: Common Mistakes and Domain-Relevant Insights
Resources
References
Repository
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