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Machine Learning Basics
Setup/Installation
Recap: Regression Models
What is Machine Learning?
Bias-Variance Tradeoff
Resampling Strategies
Exercises
Modelling
Model Selection
Regularisation, PCR & PLS
Generalized Additive Models
K-Nearest Neighbors
LDA & QDA
Naïve Bayes
Decision Trees
Support Vector Machines
Principal Component Analysis
Exercises
Additional Materials
Exercise solutions
ML Basics Exercises
Modelling Exercises
Repository
Open issue
Index
